zzc623/ClassGastric: Code for "Biology-guided Deep Learning Predicts Prognosis and Cancer Immunotherapy Response"

ClassGastric This is the implementation of the submitted paper "Biology-guided Deep Learning Predicts Prognosis and Cancer Immunotherapy Response"

Data A set of sample was stored in the folder "Data"

Requirements This code has been tested On Ubuntu 18.04 The required 3rd libraries are listed as follow: Python =3.6 TensorFlow =1.10 cudatoolkit =9.0 cudnn =7.6.5 imgaug =0.4.0 numpy =1.19.2 scikit-learn =0.24.1 simpleitk =2.0.2 opencv-python =4.5.1.48 xlrd pydicom

How to run 1、Run the "ROI_Extract.py" to pre-process the patient data and convert the dicom into npy. 2、Run the "Train.py" to re-train the well-designed model.