add readme

readme

+Data and modelsd described in 
+
+in review: 
+
+1.PDE inspired CNNs
+parabolic and hyperbolic networks implemented in Meganet/examples/2018-jvmm
+
+
+pde/data:
+i) Exp1 - normal vs pneumonia
+
+It includes all the Xrays for normal and pneumonia, 0.8 for training
+
+Ctrain_normal.mat, Cval_normal.mat - labels
+Ytrain_normal.mat, Yval_normal.mat - RGB images, 192x192
+
+ii) Exp2 and Exp3 - covid, normal, pneumonia, tuberculosis
+
+It includes all Covid-19 AP or PA from Cohen dataset, gathered from Radiopaedia or SIRM. Version from december 2020 of the Cohen dataset 
++ 350 randomly selected normal + 350 randomly selected pneumonia
+
+Ctrain_down.mat, Cval_down.mat - labels
+Ytrain_down.mat, Yval_down.mat - RGB images, 192x192
+
+The entire dataset (0.8 training) - higly imbalanced
+Ctrain.mat, Cval.mat - labels
+Ytrain.mat, Yval.mat - RGB images, 192x192
+
+
+pde/models
+Logs and models for Exp1, Exp2 and Exp3
+
+2. DenseNet 2-Phase
+Chexpert_2Phase
+
+It includes 
+ i) 2 models for phase 1 - training from CheXpert
+ii) 3 models for phase 2 - training for multioutput covid, normal, pneumonia, tuberculosis
+
+
+