DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
Expert Systems with Applications(2021)
Abstract
•Deep learning model able to predict a refined segmentation of breast cancer in WSI.•Cascade of CNNs working together inferring global and local characteristics.•We provide the diagnosis in an interpretable way through segmentation and heat maps.•Our model identified suspicious regions not labeled in a public dataset.
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Key words
Deep learning,Whole-slide image,Convolutional neural network,Interpretable diagnosis,Breast cancer,Histopathological images
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