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Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.

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BreakHTS.ipynb
BreakHTS.ipynb
 
 
BreakHTS200.ipynb
BreakHTS200.ipynb
 
 
BreakHTS200_Xception.ipynb
BreakHTS200_Xception.ipynb
 
 
BreakHTS400.ipynb
BreakHTS400.ipynb
 
 
BreakHTS400_Xception.ipynb
BreakHTS400_Xception.ipynb
 
 
BreakHTS_Xception.ipynb
BreakHTS_Xception.ipynb
 
 
Breakhts_effect100.ipynb
Breakhts_effect100.ipynb
 
 
Breakhts_effect100_Xception.ipynb
Breakhts_effect100_Xception.ipynb
 
 
Image_Forgery_Detection_ResNet.ipynb
Image_Forgery_Detection_ResNet.ipynb
 
 
Image_Forgery_Detection_Xception_Net.ipynb
Image_Forgery_Detection_Xception_Net.ipynb
 
 
Normalization_and_other_testing_on_Breakhts.ipynb
Normalization_and_other_testing_on_Breakhts.ipynb
 
 
README.md
README.md
 
 

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Breast Cancer Classification From Histopathological Image

Inception V3 again has been used as base model for training. BreakHis dataset is divided into 4 magnification factor based subset for each of them there lies a notebook. For parameter , optimization algorithm testing Normalization and Testing Notebook is used.

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Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.

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computer-vision deep-learning inception-v3 xception-net

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