From bfed7e07ba7d4e796095c7d8074f3cd1739c4309 Mon Sep 17 00:00:00 2001 From: Shiza Charania <86497160+shizacharania@users.noreply.github.com> Date: Wed, 2 Feb 2022 20:29:37 -0500 Subject: [PATCH] Created using Colaboratory --- Brain_Tumour_Classification.ipynb | 155 +++++++++++------------------- 1 file changed, 58 insertions(+), 97 deletions(-) diff --git a/Brain_Tumour_Classification.ipynb b/Brain_Tumour_Classification.ipynb index c03f87e..ed6f914 100644 --- a/Brain_Tumour_Classification.ipynb +++ b/Brain_Tumour_Classification.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "id": "MAyLN3L40fLX" }, @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "id": "XyndXf2t0q2y" }, @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "id": "yFxsSFYw0s0h" }, @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "id": "BkdhKkxi0ujM" }, @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -212,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -274,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -351,7 +351,7 @@ "id": "aDkg5kG6K3gO", "outputId": "bc41a6e4-ff30-4759-811e-67ec335465ef" }, - "execution_count": 72, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -364,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -411,7 +411,7 @@ }, { "cell_type": "code", - "execution_count": 410, + "execution_count": null, "metadata": { "id": "9p50ET-GdZUx" }, @@ -467,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 411, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -491,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 412, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -515,7 +515,7 @@ }, { "cell_type": "code", - "execution_count": 413, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -540,7 +540,7 @@ }, { "cell_type": "code", - "execution_count": 414, + "execution_count": null, "metadata": { "id": "NuqKffPsk-15" }, @@ -561,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 415, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -612,7 +612,7 @@ "id": "LrA_NVC86_IX", "outputId": "f7736c27-d89b-4575-d67a-c76b5e9d862f" }, - "execution_count": 416, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -635,7 +635,7 @@ "metadata": { "id": "Esg9GHDF98QS" }, - "execution_count": 417, + "execution_count": null, "outputs": [] }, { @@ -652,7 +652,7 @@ "id": "EPNUf55_Wa1Y", "outputId": "615fcc84-a5f2-4333-bdeb-2b05e5fa3976" }, - "execution_count": 418, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -673,7 +673,7 @@ "metadata": { "id": "QWqlWASXmc2A" }, - "execution_count": 419, + "execution_count": null, "outputs": [] }, { @@ -714,7 +714,7 @@ "id": "qOLgl28JXNml", "outputId": "6a9786df-0a39-43ca-cc2f-83f5f055e8d2" }, - "execution_count": 420, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -844,7 +844,7 @@ "id": "bXEX47wqbKYN", "outputId": "dec558cb-badc-4f5e-cf70-bc42492fa28a" }, - "execution_count": 421, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -917,12 +917,6 @@ " # 32 x 32 x 32\n", " nn.MaxPool2d(2,2),\n", " # 16 x 16 x 32\n", - " nn.Conv2d(32, 64, kernel_size=3, stride=1, padding=1),\n", - " nn.ReLU(),\n", - " nn.BatchNorm2d(64),\n", - " # # 16 x 16 x 64\n", - " nn.MaxPool2d(2,2),\n", - " # 8 x 8 x 64\n", " # flatten\n", " nn.Flatten(),\n", " # 1 x 16384\n", @@ -938,7 +932,7 @@ "metadata": { "id": "G44l3Bijgl0H" }, - "execution_count": 521, + "execution_count": 527, "outputs": [] }, { @@ -951,9 +945,9 @@ "base_uri": "https://localhost:8080/" }, "id": "PB-qy2909Faq", - "outputId": "9ef07215-baea-4c41-d254-740a6ccab49a" + "outputId": "1c18c4c7-4c41-40a1-b4d7-925ba3337732" }, - "execution_count": 522, + "execution_count": 528, "outputs": [ { "output_type": "stream", @@ -968,19 +962,15 @@ " (5): ReLU()\n", " (6): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", " (7): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", - " (8): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", - " (9): ReLU()\n", - " (10): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (11): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", - " (12): Flatten(start_dim=1, end_dim=-1)\n", - " (13): Linear(in_features=8192, out_features=512, bias=True)\n", - " (14): ReLU()\n", - " (15): Dropout(p=0.7, inplace=False)\n", - " (16): Linear(in_features=512, out_features=256, bias=True)\n", - " (17): ReLU()\n", - " (18): Dropout(p=0.6, inplace=False)\n", - " (19): Linear(in_features=256, out_features=4, bias=True)\n", - " (20): Softmax(dim=1)\n", + " (8): Flatten(start_dim=1, end_dim=-1)\n", + " (9): Linear(in_features=8192, out_features=512, bias=True)\n", + " (10): ReLU()\n", + " (11): Dropout(p=0.7, inplace=False)\n", + " (12): Linear(in_features=512, out_features=256, bias=True)\n", + " (13): ReLU()\n", + " (14): Dropout(p=0.6, inplace=False)\n", + " (15): Linear(in_features=256, out_features=4, bias=True)\n", + " (16): Softmax(dim=1)\n", ")\n" ] } @@ -1001,9 +991,9 @@ "base_uri": "https://localhost:8080/" }, "id": "bOPDqpRJ9N8F", - "outputId": "7b10a66a-626f-4232-b7f1-66d26f3f3451" + "outputId": "96bf77ea-dc47-4380-90bc-03079ae39f80" }, - "execution_count": 519, + "execution_count": 529, "outputs": [ { "output_type": "stream", @@ -1027,7 +1017,7 @@ "metadata": { "id": "-sRdottkpxJo" }, - "execution_count": 473, + "execution_count": null, "outputs": [] }, { @@ -1085,7 +1075,7 @@ "id": "sCuYLgce-YF_", "outputId": "6391b919-fdf8-46f3-bf85-9c0fbbc89493" }, - "execution_count": 478, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -1212,7 +1202,7 @@ "id": "KIwIBr2766O5", "outputId": "7cf5bc12-769e-4306-8230-0905941a495a" }, - "execution_count": 482, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -1251,7 +1241,7 @@ "id": "a6kpbKmk7lhl", "outputId": "7d172a99-9b04-492b-cdfb-76fa0e6d01c5" }, - "execution_count": 483, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -1314,7 +1304,7 @@ "id": "ZzdZVT4F-aib", "outputId": "e8a36665-57b8-4b9d-a345-97e3346e76df" }, - "execution_count": 485, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -1340,8 +1330,8 @@ "\n", "visual_images, visual_labels = next(iter(testingloader))\n", "\n", - "visual_images = visual_images[:5]\n", - "visual_labels = visual_labels[:5]\n", + "visual_images = visual_images[:4]\n", + "visual_labels = visual_labels[:4]\n", "\n", "for i in range(len(visual_images)):\n", " image = visual_images[i]\n", @@ -1365,9 +1355,9 @@ "height": 1000 }, "id": "ZnCkgPje8-hf", - "outputId": "3039301b-17e6-4411-94c9-c3b648f459d1" + "outputId": "aaae5735-38d2-4596-8a86-1dd8580eaca5" }, - "execution_count": 518, + "execution_count": 564, "outputs": [ { "output_type": "stream", @@ -1380,14 +1370,14 @@ "output_type": "stream", "name": "stdout", "text": [ - "Predicition: glioma_tumor \n", - "Label: glioma_tumor\n" + "Predicition: meningioma_tumor \n", + "Label: meningioma_tumor\n" ] }, { "output_type": "display_data", "data": { - "image/png": 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xS7rMxv8KwPum+Xwneva7EGIOUHwEXYRVdY6YA5or5Fh9y/K6R7fcypUr63aMCmPVl3PcRddPW072KBerrXHVG19LXInWdq4sGjCaDFz2OEb5MXzvYrllvrau+fYzFyObIfG5LF68uFUOPt9cUtsjio0XohA02IUoBKnxCVG95eg6VltjFBurrTz7DjTz00W1mNM7xz4ZVm8ztZVnkWM12a7RaW2qdPxeNCf4HnCCiqgiZ5GCfC1tnpBIlo46S45xySWX1O2dO3c29mVmw1xCb3YhCkGDXYhC0GAXohBkswc4ii26q9h2Y7dZzC+f2dQcGcfuKaBpb/K5TiTBItvpnIQhSwwRbVnex3Y0zzcAzTmGWNaJ93H/0d7ObPa2aMDM1Rnta55n4LmDaNs/8sgjaIOjIOdyBJ3e7EIUgga7EIUgNT7Aql5UTTk/HaumcSEJq/UxeiyrTNpWrikuQMlyz7Pqzt/jiDygeW1RLWY5MrdT5gJj1Tdz0bGp1LV0U1byKj4LlpHdftFE48Uv8Zr5XsWFTceOHcNcQW92IQpBg12IQtBgF6IQZLMH2F6LudbZ9XTo0KG6He027iO6vNhlF21DDmHlVWkxjznvi+4wtnt5JVe0+3k72srcP4fZHj16tHEcJ99YvbqZgvDw4cN1m+ctYh889xHr7vF2lpgyC/flfTwfE+cw2FUY5yLY1ud7CshmF0KMIRrsQhRCMWp85q5i2B0WXW+sdj/zzDOt/WUJGZioWre5w6Kaze6fqD5zH+xCy9xaUf62SLOY8IHdXDEKj+Xg64yJOFjGqFqzCcT3g1VuoPlcYilmdmGyvNGcYJMt3lPe5uc+19CbXYhC0GAXohCsazXPvpzMbHgnmyE88x1TSXOUFautUb199tln63ZMQpHNgrMJwXKwWg0Al156aav8PDvM34vpkVn+5cuXt8rIM9Mxco3lj8kxeGEJ9xfNGp5xz6racj7AGCXH/b/rXe9q7GP5s7TVfN/ic2GZo8cgVgEeB9x92mSBerMLUQga7EIUgga7EIVQjOutK+xmifblgQMH6jbb80899VTjOJ4Hia6grJwS98/2cVw5x/MAceUc2+kXX3xx3Y62JduecW6irUxSzHPP7iuWPcrBRLuf3YgxoSXb0SzHO97xjsZxPP8Qz8tzH3xd8dlmeenZPRijKucSnd/sVdnmR83svmr7fDN7yMx2mNldZtZeaUAIMXJORI3/NICttP0VAF9z93UAXgBwaz8FE0L0l06uNzObAHAHgH8B8FkAfwHgEIAV7v6GmV0N4Ivu/mfH6WfsXG/RzcIJKqK6yDnjeCFMVPs4j110ebGaGRdRtOWFi7nq+Lio4k9OTtZtjlaLOfB5O5oCrNJy/zFxA6vuUb1lNZm/F+/VunXrpu0PaCaYyCLt2ByKZgLff3YPxnvPz2XFihWNfXwt/NyBZkXdcWG2rrevA/g8gCnn5BIAR9196sntBbB6ui8KIcaD4w52M/sIgEl3b0+/mX9/o5k9bGYPz+T7Qoj+0GU2/gMAbjKzDwM4FcDZAL4BYKGZnVS93ScA7Jvuy+6+CcAmYDzVeCFKoUt99tsB3A4AZrYBwN+5+yfN7PsAPgbgTgC3ALhngHLOmrZVXjFsMnPBtCUejCGxfBwneIjni4kn+Nxss2f1y2Kihfe///11e/v27XU7zk2wjRpXrPH2nj17Wvtgl128FpaLzxVXlLELMK6I4/vB9y2Gy7JNHecwuNYe9xdXvU1MTNRtzu0PNOdgsnpx485sgmq+AOCzZrYDPRv+W/0RSQgxCE4oqMbdHwTwYNXeCeDK/oskhBgExUTQdV3dx6peVFvb8p/HvGSsjsb85Py96A5jdZf7iJF2TIwE49xv7EKKEXSsZsfINTZD2P0Yc+Gx+RITfbStlovH8T2NJkl0W073HaBpCmRJOrJVgNmqN5Y5Ps+5hGLjhSgEDXYhCqEYNb6NONPNKmGcjWc1k/OgxeQVPGMbI8s4+itGjPHMPavnMTEEq5XPP/98Yx/PHHPCh6iCszoaZ8H5OvlcbYtbgNxMYjMhJn/gfdGcaIvy4xl2oHltcTaev8eRiHyfIplXIM7izyX0ZheiEDTYhSgEDXYhCqF4mz3amlmCRWbp0qV1O9r27BqKK7TYNRbdP9EtNUW0t3k72rncJ9vlWeRXtMXbot/iudj+jveqLXd+dJuxfRznPtrccrwyMcoV5wT4e1lyy7ZSU7GPbN6Cydy2o0JvdiEKQYNdiEIoXo2PsHsmLmJhNZvVvhgJx8dlKmFUOTl/Oy/2iCoh9xll5O+xeRGP4yQXWYmqzKxpy8keZWZ5oxuRTY1oDrFcbA7F+8a58fbu3dvYx8eyydZmMsXjYh/x3G2Mg9oe0ZtdiELQYBeiEDTYhSgE2ewBTlwQ7e22EMssvDL2weGbsT+2WdkNlbn2shVaLEe0UdkejvKzzcryZq7IuGKNz819xHLLvC+GuvJqP34u0W7m0s5RjrYVaxxKHOXNSnDPZfRmF6IQNNiFKASp8QlRfWaVPIvGytRdVhGjushuP3Y1xYQJmWrNMrLKHN1r3EdWRplV6Zhfnq87quBtef7iPWUzJOby4z7judvkjW5QdjlmCUH4PsZIwWh6zFX0ZheiEDTYhSgEqfEJMVEBq9acSjqq2axKRrWSVc79+/e3fo/LDEV1n1XOuNCGVWFWz+NsPKuqcQab1e5MjWeTIaq+LCOrzzGSjxf1RBWf4SQg8X7w96J6zjn0+HnGpCJZuujMbOqa23Ac0JtdiELQYBeiEDTYhSgE2ewJ0UblKC62PaPbie06ju4CmqvSYr55dkO1lSsGmgkUotuPyzCxvPFa+FzR3ub+M5cXzwNE9xTPF2Tlp7kcVCy7xPeKzxVl4u0YUdi2Si3OD/C8QkwqwnJkNnpbibFxodNgN7NdAF4C8CaAN9x9vZktBnAXgLUAdgG42d1faOtDCDFaTkSN/6C7X+7u66vt2wBsdvcLAGyutoUQY8ps1PiPAthQte9ArwbcF2Ypz1jD6i27cWLuNFZVo7rIrjJOugA0VX5WR7Oos6hyshuNk2Hs29esqM1qJrv5gPbFKdHNx2prVK15H8sfTQbOex9z7XFJJnapRfdXloOOnwWbQ1k+vfg8s0QXzDiq7kzXN7sD+JmZPWJmG6vPlrv7lKP4AIDl039VCDEOdH2zX+Pu+8xsGYD7zewp3unubmbT/rdW/eewcbp9Qojh0enN7u77qr+TAH6MXqnmg2a2EgCqv5Mt393k7uvJ1hdCjIDjvtnN7AwAb3P3l6r2DQD+CcC9AG4B8OXq7z2DFHTcYPs6JlFsCxUFmnZpDMdlNxp/L65K4/5j2CfPA3AfMSSW7csoI7vKuJ2tsMvcYVm4KdvUWdgxE+cwMluc7w/f+yz0N7oz58uqty5q/HIAP64e0kkA/sPdf2JmvwRwt5ndCmA3gJsHJ6YQYrYcd7C7+04Al03z+REAHxqEUEKI/lNkBF3X5BIZrHJG1wyr53EVFqucMWIsup7a+s/KEXFkH++LajzLH+8Hn4/lj9FpbeWQgeZ9zNRnPi4rrcSmTLwWliuq4Hwt7KaMx7Ec0XyI5sVMYJmzqMRBoth4IQpBg12IQtBgF6IQirTZ+x3WGF1obBtGe5hXUEU3UdtKtOhqyuqvHTx4cNo+4rmYzH7lMNIsk0ycm+BjuZ2VyM7qxbF7MNrUfO7YB2+zrRyz0bBtH+cf+N7F6+zKqOx0Rm92IQpBg12IQihSje83vDoLAFatWlW3WW0HmupjjIxj11NWjohV37jqjd1ErDpG9TNzc7WprV3LFQNN84JV5CxhY5Z/v00dj2RuOb6uzGSILkZOMhJXD84l9GYXohA02IUoBKnxAyCL0GM1Ps5us3rKKnOMrMv64G3uI6q3mbwzmTmOffD5WN4oB++L5krbPYgRhXzNcV/boqQsJ18WhTeX0ZtdiELQYBeiEDTYhSgEG2aSvLbUVfMNtktjYgu+39Ed1hadFeujxegvhu3LttVrUY7oamKblW3eaJdzJFvsg92KbckngXw1WFt56xhBx/0fPny4sY+vhRNJZu7MKGNMEDLuuPu0k0Z6swtRCBrsQhSCXG8DIFtwwe6fbDEGq8WZayzmj2MVlFXYTG2Ni2RYLpYjRvxlJaH53KwGR1U9c2u1lVOKZg2XW46JJvh8WbQeb59IpOBcQm92IQpBg12IQtBgF6IQZLMPmCNHjjS2uV5adFexa4jtxmhvZ+G4bH+zPRzLSrMc0RZnuTLXbFtyCaCZa53lOBFXb5tbLrreWI7o6uTrZrdcnC/huY4sOcZcRm92IQpBg12IQpAaP2Ciys0qYUw8wfvOPPPMuh3dVewmiqYAb7OqmpV27pq3Larg2Yo1XqXG9yDKy+ZKdKlxLrilS5fW7Vjqmk2GWFZ60aJFdZtLdmW54It2vZnZQjP7gZk9ZWZbzexqM1tsZveb2fbq76Lj9ySEGBVd1fhvAPiJu78bvVJQWwHcBmCzu18AYHO1LYQYU467EMbMzgHwGIB3Oh1sZtsAbHD3/VXJ5gfd/cLj9FXEQpiuZLPgWbpoJqq0rPryDHNMGtGWXAJoz38XI+14X1bFtS0yEGiq02y6xH1ZxB/fnzgb35ZOe8+ePa19RBV/mIvF+sFsFsKcD+AQgH83s0fN7N+q0s3L3X1/dcwB9Kq9CiHGlC6D/SQAVwD4pru/D8DLCCp79caf9r8/M9toZg+b2cOzFVYIMXO6DPa9APa6+0PV9g/QG/wHK/Ud1d/J6b7s7pvcfb27r++HwEKImdGlPvsBM3vOzC50923o1WR/svp3C4AvV3/vGaik85AYddbmyoo2O7vR2O0UYbs5JmRg2znui664KaKtnK2qa0uAkdn2Mcc+uyKzJJu8L0YscjTckiVLWuXtR1nmcaern/1vAXzXzE4BsBPAX6OnFdxtZrcC2A3g5sGIKIToB50Gu7s/BmA6NfxD/RVHCDEolINuTMmSRmQVXll9blPHgdxM4O0s0o7Jcs1nJkOW+63NbZaVbsoWDbFrL6r72bXNNZSDTojC0WAXohA02IUoBNnsc4Bos2er3tqSKmY52WMf/aBr7vnsWtoSTmbHxetsq3E3XxJSTIdsdiEKR4NdiEIYthp/CL0AnHMBHD7O4YNmHGQAJEdEcjQ5UTnOc/el0+0Y6mCvT2r28Khj5cdBBskhOYYph9R4IQpBg12IQhjVYN80ovMy4yADIDkikqNJ3+QYic0uhBg+UuOFKIShDnYzu9HMtpnZDjMbWjZaM/u2mU2a2Rb6bOipsM1sjZk9YGZPmtkTZvbpUchiZqea2S/M7PFKji9Vn59vZg9Vz+euKn/BwDGzBVV+w/tGJYeZ7TKzX5vZY1Mp1Eb0GxlY2vahDXYzWwDgXwH8OYCLAHzCzC4a0um/A+DG8NkoUmG/AeBz7n4RgKsAfKq6B8OW5TUA17n7ZQAuB3CjmV0F4CsAvubu6wC8AODWAcsxxafRS08+xajk+KC7X06urlH8RgaXtt3dh/IPwNUAfkrbtwO4fYjnXwtgC21vA7Cyaq8EsG1YspAM9wC4fpSyADgdwP8B+BP0gjdOmu55DfD8E9UP+DoA9wGwEcmxC8C54bOhPhcA5wB4FtVcWr/lGKYavxrAc7S9t/psVIw0FbaZrQXwPgAPjUKWSnV+DL1EofcDeAbAUXefyiAxrOfzdQCfBzC1ImbJiORwAD8zs0fMbGP12bCfy0DTtmuCDnkq7EFgZmcC+CGAz7j7i6OQxd3fdPfL0XuzXgng3YM+Z8TMPgJg0t0fGfa5p+Ead78CPTPzU2Z2Le8c0nOZVdr24zHMwb4PwBranqg+GxWdUmH3GzM7Gb2B/l13/9EoZQEAdz8K4AH01OWFZjaV/2kYz+cDAG4ys10A7kRPlf/GCOSAu++r/k4C+DF6/wEO+7nMKm378RjmYP8lgAuqmdZTAHwcwL1DPH/kXvRSYANDSoVtvYXX3wKw1d2/OipZzGypmS2s2qehN2+wFb1B/7FhyeHut7v7hLuvRe/38N/u/slhy2FmZ5jZWVNtADcA2IIhPxd3PwDgOTObKqM2lba9P3IMeuIjTDR8GMDT6NmH/zDE84fla34AAACTSURBVH4PwH4Ar6P3v+et6NmGmwFsB/BfABYPQY5r0FPBfoVe/bzHqnsyVFkAXArg0UqOLQD+sfr8nQB+AWAHgO8DePsQn9EGAPeNQo7qfI9X/56Y+m2O6DdyOYCHq2fznwAW9UsORdAJUQiaoBOiEDTYhSgEDXYhCkGDXYhC0GAXohA02IUoBA12IQpBg12IQvh//Yn3tMQrDRIAAAAASUVORK5CYII=\n", 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\n", 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" ] @@ -1402,8 +1392,8 @@ "text": [ "\n", "\n", - "Predicition: meningioma_tumor \n", - "Label: meningioma_tumor\n" + "Predicition: no_tumor \n", + "Label: no_tumor\n" ] }, { @@ -1416,7 +1406,7 @@ { "output_type": "display_data", "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1425,39 +1415,11 @@ "needs_background": "light" } }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" - ] - }, { "output_type": "stream", "name": "stdout", "text": [ "\n", - "\n", - "Predicition: no_tumor \n", - "Label: no_tumor\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
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\n", 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\n", 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" ] @@ -1508,14 +1469,14 @@ "output_type": "stream", "name": "stdout", "text": [ - "Predicition: no_tumor \n", - "Label: pituitary_tumor\n" + "Predicition: glioma_tumor \n", + "Label: glioma_tumor\n" ] }, { "output_type": "display_data", "data": { - "image/png": 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\n", 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LsImEcuOFyAQpuxCZkL0ZH2eH2YyPJiebu01nuuMsdWpRCPex6R5lTBW9aLqFFPfFWns8e859TYtyAFXzvM4cj/LGzLW67LdI00IfTDwvVdePXbZYNpyfVXRzxht6swuRCVJ2ITJByi5EJmTvs7M/CdRvWwTU10KP/mpdBtpwYzK8ymu0xSj5mP3jVIZY9GvrwmFx/oF96jivwBl0qVAkE8ePYzYhjl+3ai/65fzcYniN/XL+jQDgzDPPLNvy2YUQ4wIpuxCZkL0ZH03wVOZaXd221O6jqbBc7Gu60IbN7jgGm74xpFZHaqFNatEJf5cYkuJnx2PE78J98V5sPvOzSe1qG58hj5n6zXiM6D7EsCUT3YHxjN7sQmSClF2ITJCyC5EJ2fvskdQKKvbdUqGs1Mq2FHWptMcSror+7BCpLZVT/mvT7ZFnzJhR6WNfmZ9BfKZ9fX1lmwt2RBmb1tFvun12apvq1F5ycfwYuh3P6M0uRCZI2YXIhOzN+O3bt9f2cTEJoJo9xSZsNJ1TWwintjTiPjYz60zz4fp4DK4txxltQPW7xPARZ4LxeakQYDTP686LbgffK/bxMbsT0bWILkrdvZk4Bssfr0ll3in0JoQYd0jZhciE7M34Xbt2VY55t9NUBhoXWkiZ46nZ8lTxitQMfKr2G5v/fO94r1deeaVsn3322ZU+Nv9ZjrjQgzPNUnIwqYU70eWpmz2PZntqsU5dhl58HmzWDwwMVPo4OzCVcTne0ZtdiEyQsguRCVJ2ITIhe589+m68HdTjjz9ee27Kv25aEDIVykqdl1o5x7D/yivIgOoKvpi5xn1N5zBiKIv9+VThyFT4ri7klSoW0pQoBxesaPq7jPbevaLxm73YtvkJM7u/OJ5nZhvNbIeZ3WVmx15WRAjRNY7FjL8ZwDY6/h6AH7j7BQAOAbipnYIJIdpLIzPezGYD+FsA/wHgH61ly6wC8JXilDsAfBvAjzsgY0eJZtiFF15Ytp988slK39KlS8v27t27G42fysZqusAlZSqm6qRzO4a1uDZbNM85a44z7+ICFDa7Y222uoISqXBjlJFDbHyvVPguRSoUyfeO7sSCBQuGlWmi0fTN/kMA3wQw9K/uTACH3X3oqewFMKvNsgkh2siIym5mnwMw6O6PjeYGZrbGzDab2ebRXC+EaA9NzPhPAfiCmX0WwFQApwP4EYAzzOy44u0+G8C+4S5297UA1gKAmdXvHySE6ChN9me/FcCtAGBmVwL4J3f/qpn9EsCXANwJ4EYA93ZQzq7Bft2cOXMqfYODg2X7zTffLNscngKqYSJOPQXS6bJ877r670A1rJWaE0gVa+DxuU48ABw5cqRsc0gtnpeSsW6lWyqsFQs91tXpZ/liX2oOo66gRrx3HH/x4sVl+84778REZSxJNd9Ca7JuB1o+/G3tEUkI0QmOKanG3TcA2FC0dwJY2X6RhBCdIPsMushzzz1XtlevXl3pu/3228t2KpzEJmGqbnw0fetWb6VqrafCUKk66exexO2O2FxP3SvVx6QKT/Czi+E73j6bnwdnOQLAnj17hh0PqHdrYgiN3TLe0in25RB6E0JMcKTsQmSCzPjAli1byvaSJUsqff39/WWbTb0DBw5UzmtalyxmjNUVWkjtnppahMMmbMwK4+tS21elykCnogJ116W+c3Qn6na1Te3Amiomwd8znjdz5syyzVmUAPDUU0/VjjmR0JtdiEyQsguRCVJ2ITJBPnuA/cFY1GHFihVl+4EHHijbMew0derUsp3KoItZbamtlphU2K9pOIyv4xVww8k1RJw7SBV14D5+pvFe/KxiHxe45O/CxTXidYcOHar01c0rxBAa3+szn/lMpe/hhx/GZEBvdiEyQcouRCbIjE/wxz/+sXJ89dVXl21e/BIXzGzdurVsR9M8FQ6r2z01ZarHUBab06nwXapwBpvFHA5jkxtoXn+N7x0Xu7CJH90HLqrB7lB0jXibrtT3ZNP9/PPPr5y3cOHCsh2/V3QbJip6swuRCVJ2ITJByi5EJshnT8CrroDq/mjXXXdd2b7nnnsq57EPH7d95hBS9F/rQmpNU2JjXyqNlH39OAbfj/33OAb7zqkUVvb143nsR8c+lpELh6RSYqPPzvMAfX19ZXvnzp2V8zhFNu7/N1nQm12ITJCyC5EJMuOPgZdffrls8zbHvH0zUDXP4zbHHLI7lnrwTKr2fJ2Jn9q2KMrB5nQqRBeLbzB19etT5n40wbloRN01UY4oL4fNpk+fXrYvueSSynl8723btmEyoje7EJkgZRciE2TGHwMvvvhi2Z4/f37Zjgsnfvvb35btgYGBSh9nhaV2LWWzMpUVllqA0nQhTFOXIcqRKotdR9xqKjU+kyo8kSpswUUpOLrC5aGBqssQS0lPFvRmFyITpOxCZIKUXYhMkM8+Sth/j9s/caZWXMnFWyDHkB37r6lwUqp4BZPyy1P+NvfFVXV15zUtXtF0HiE1fjyP/flU7fm5c+eW7Zi9uH79+lq5JgtN92ffDeAIgA8BfODuK8ysD8BdAOYC2A3genc/VDeGEKK3HIsZf5W7L3P3odpMtwBY7+7zAawvjoUQ4xRrEjIp3uwr3P11+ux5AFe6+34zGwCwwd0X1o1RXDMpt2y+4oorKsecqfWHP/yh0seLR2KIh01LNnejiczHqXBVajENE+ux8eIXNqWjCc5jjjYbkN2V+G+Rw3T8PeO9ZsyYUbZj3cAFCxaUbf5dXnjhhcp5kylrzt2H/bGbvtkdwO/N7DEzW1N81u/u+4v2qwD6h79UCDEeaDpB92l332dmZwFYZ2bPcae7e91bu/jPYc1wfUKI7tHoze7u+4q/BwH8Bq2tmg8U5juKvwdrrl3r7ivI1xdC9IARfXYzOwXAx9z9SNFeB+DfAFwN4KC7f9fMbgHQ5+7fHGGsSemzR3hFFa+OA6q+Ydzb7OSTTy7b77zzTqN7RZ+9rvZ8/J3rClPGMZoW0Wg6fhyDQ5NRjjpfP9aX5+d46aWXVvr4+XC4dDL56JE6n72JGd8P4DfFj3QcgP9y99+Z2aMA7jazmwC8BOD6dgkrhGg/Iyq7u+8EsHSYzw+i9XYXQkwAGoXe2nazTMx4ZtGiRZVjXoUVzdbHH3+8bPOW0DFEx+ZtasuoVK26um2ZgeYmeMrErwvLxe9cV+QiXsd17DgLEQAuv/zy2jE2btxYtt944w3kwFhDb0KICY6UXYhMkLILkQnZ++wpP7QTzJo1q2zz/mJA1Y/etGlT2T7rrLMq53H9+hiG4pRbXrEWU2JTFXPYP2aZ4oqyVGHKujTb1L51cYVg3FtuiFhlhq9jHx1oHsJMkUo17qb+NEU+uxCZI2UXIhOyN+N7CWfMAcCyZcvKNpvgcYVWKlxVt01zzLRjcz+G9thsZRnjvVKht7pVcNFl4IISMatt5cqVw8ofQ29suqe2hsoFmfFCZI6UXYhMkBk/Tlm+fHnZjjXueAZ+3bp1lT6uU3/66aeX7Zg9xjPrcda7ri59NJ/5ONZr5zp83N6zZ0/tvS677LJKHy9w2b59e9nmbbjE/0dmvBCZI2UXIhOk7EJkgnz2CUDMkuPMu1h7ftq0aWX72WefLdsHDhyonJcqWlkXNuNimUA1PBj3cOO+JUuWlG0uDglUt1Tev39/pY9XAY7HTLXxinx2ITJHyi5EJsiMn+DEwhNz5swp21wnfd68eZXzONwWzXPOwnv33XfLdnQn2PwfHKzWG+Ux2Tw/ePBg5bxdu3aVbWW/tQeZ8UJkjpRdiEyQsguRCfLZM2WiFWQQzZHPLkTmSNmFyISmGzuKSYZM9fxo9GY3szPM7Fdm9pyZbTOzy82sz8zWmdn24u/pI48khOgVTc34HwH4nbsvQmsrqG0AbgGw3t3nA1hfHAshxilNdnGdBmALgPOcTjaz5wFc6e77iy2bN7j7wrpximtkOwrRYcYyGz8PwGsAbjezJ8zsJ8XWzf3uPpQH+Spau70KIcYpTZT9OAAXA/ixuy8H8A6CyV688Yd9a5vZGjPbbGabxyqsEGL0NFH2vQD2uvtQvd5foaX8BwrzHcXfg8Nd7O5r3X2Fu69oh8BCiNExorK7+6sA9pjZkD9+NYBnAdwH4MbisxsB3NsRCYUQbaFRuqyZLQPwEwAnANgJ4O/R+o/ibgBzALwE4Hp3T26ArQk6ITpP3QSdcuOFmGQoN16IzJGyC5EJUnYhMkHKLkQmSNmFyAQpuxCZIGUXIhO6XbzidbQScGYU7V4yHmQAJEdEclQ5VjnOrevoalJNeVOzzb3OlR8PMkgOydFNOWTGC5EJUnYhMqFXyr62R/dlxoMMgOSISI4qbZOjJz67EKL7yIwXIhO6quxmdq2ZPW9mO8ysa9VozeynZjZoZk/TZ10vhW1m55jZQ2b2rJk9Y2Y390IWM5tqZpvMbGshx3eKz+eZ2cbi97nLzE7opBwkz5SivuH9vZLDzHab2VNmtmWohFqP/o10rGx715TdzKYA+E8A1wG4CMANZnZRl27/MwDXhs96UQr7AwDfcPeLAFwG4GvFM+i2LO8BWOXuSwEsA3CtmV0G4HsAfuDuFwA4BOCmDssxxM1olScfoldyXOXuyyjU1Yt/I50r2+7uXfkD4HIAD9DxrQBu7eL95wJ4mo6fBzBQtAcAPN8tWUiGewGs7qUsAE4G8DiAS9FK3jhuuN+rg/efXfwDXgXgfgDWIzl2A5gRPuvq7wJgGoBdKObS2i1HN834WQD20PHe4rNe0dNS2GY2F8ByABt7IUthOm9Bq1DoOgAvAjjs7h8Up3Tr9/khgG8C+Kg4PrNHcjiA35vZY2a2pvis279LR8u2a4IO6VLYncDMTgXwawBfd/e3eiGLu3/o7svQerOuBLCo0/eMmNnnAAy6+2PdvvcwfNrdL0bLzfyamf01d3bpdxlT2faR6Kay7wNwDh3PLj7rFY1KYbcbMzseLUX/ubvf00tZAMDdDwN4CC1z+QwzG1ov0Y3f51MAvmBmuwHciZYp/6MeyAF331f8PQjgN2j9B9jt32VMZdtHopvK/iiA+cVM6wkAvoxWOepe0fVS2GZmAG4DsM3dv98rWczs42Z2RtE+Ca15g21oKf2XuiWHu9/q7rPdfS5a/x4edPevdlsOMzvFzE4bagO4BsDT6PLv4p0u297piY8w0fBZAC+g5R/+Sxfv+wsA+wG8j9b/njeh5RuuB7AdwP8A6OuCHJ9GywR7Eq3987YUz6SrsgD4KwBPFHI8DeBfi8/PA7AJwA4AvwRwYhd/oysB3N8LOYr7bS3+PDP0b7NH/0aWAdhc/Db/DWB6u+RQBp0QmaAJOiEyQcouRCZI2YXIBCm7EJkgZRciE6TsQmSClF2ITJCyC5EJ/wfFq5z5ftRXUQAAAABJRU5ErkJggg==\n", 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" ] @@ -1540,7 +1501,7 @@ "collapsed_sections": [], "name": "Brain Tumour Classification", "provenance": [], - "authorship_tag": "ABX9TyMWOZnCj2BfVcaivr7uhHks", + "authorship_tag": "ABX9TyMVaqV7S/yULeuAfxMmvKfL", "include_colab_link": true }, "kernelspec": {