Deep learning model for HIstoPatholOgy (Deep-Hipo)

Deep-Hipo is designed to accurately analyze histopathological images by learning multi-scale morphological patterns from various magnification levels of patches in a WSI simultaneously

Required packages:

• PyHistopathology
• Open CV
• Sklearn
• Keras
• Tensorflow

CODE FOLLOW:

Codes for Training are in Deep-Hipo folder

• Deep-HipoTrain.py is the interface for train our model. It has data generators which automatically loads multiple inputs simantionously.
• Deep-Hipo_Model.py Constructs Deep-Hipo architecture.
• Dilationlayer.py Dilation Layers (intial layers) for Deep-Hipo architecture
• InceptionA.py Module A of our architecture.
• InceptionB.py Module B of our architecture.
• InceptionC.py Module C of our architecture.
• InceptionD.py Module D of our architecture.
• InceptionE.py Module E of our architecture.