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README.md
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The image below displays a collection of 49 randomly selected **IDC negative** image patches, i.e., normal tissues. Each image is labeled with the respective "patient id" at the top.
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<img src="https://huggingface.co/MUmairAB/Breast_Cancer_Detector/resolve/main/Images/Random%20samples%20of%20healthy%20tissues.png" style="height:
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**Cancer Tissues**
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Presented below is the comprehensive **Histopathological Image**, revealing the entire breast tissue. This image has been formed by merging all the patches from the patient. Furthermore, a mask has been employed to accentuate the cancerous tissues, which are distinctly marked in **green** color.
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<img src="https://huggingface.co/MUmairAB/Breast_Cancer_Detector/resolve/main/Images/Complete%20Histopathological%20image%20of%20breast.png" style="height:
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## Training hyperparameters
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The image below displays a collection of 49 randomly selected **IDC negative** image patches, i.e., normal tissues. Each image is labeled with the respective "patient id" at the top.
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<img src="https://huggingface.co/MUmairAB/Breast_Cancer_Detector/resolve/main/Images/Random%20samples%20of%20healthy%20tissues.png" style="height: 445px; width: 379px;"/>
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**Cancer Tissues**
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Presented below is the comprehensive **Histopathological Image**, revealing the entire breast tissue. This image has been formed by merging all the patches from the patient. Furthermore, a mask has been employed to accentuate the cancerous tissues, which are distinctly marked in **green** color.
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<img src="https://huggingface.co/MUmairAB/Breast_Cancer_Detector/resolve/main/Images/Complete%20Histopathological%20image%20of%20breast.png" style="height: 319px; width: 620px;"/>
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## Training hyperparameters
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