DL-Classification-ANCA-associated-glomerulonephritis

Dl based models for classifying kidney biopsies of patients with ANCA-associated glomerulonephritis according to the Berden histopathological classification system.

Structure of files and folders

In the codes folder you will find codes for training and testing the classification models X1, X2 and X3 (find specifications below) and the segmentation UNet model. Also the code which was used to extract the GradCam data, is provided.

In the Images folder you will find sample patches of training data, with and without back ground. Also there are sample images of GradCAM algorithm output as well as the performance of the segmentation algorithm

Summary of the model names

Dataset w bg	Dataset w/o bg	Pre-trained on	Architecture	Img dim
X1_bg	X1_nobg	Imagenet	Inceptionv3	150x150
X2_bg	X2_nobg	Imagenet	EfficientNetB1	224x224
X3_bg	X3_nobg	Imagenet+DPD	EfficientNetB1	224x224

DPD: Digital Pathology Dataset (refer to the publication)

Publication

Will be updated soon.

TRained Models

The trained models can be found in the google drive link below. https://drive.google.com/file/d/1DZ9fQteJYvHt9gjoWxQOrn1GolDCJGdw/view?usp=sharing