shubhaminnani

EGAN

multisurv

skin_lesion

Two stage Framework for Skin Lesion Segmentation and Classification

Agriculture-Vision

Agriculture-Vision Dataset, Challenge and Workshop (CVPR 2020)

ArtificialNeuralNetwork

Artificial Neural Networks Lab Session

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

hovernet_inference

HoVer-Net inference code for simultaneous nuclear segmentation and classification

idd

path_survival

AttenScriptNetPR

This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'

GaNDLF

A generalizable application framework for segmentation, regression, and classification using PyTorch

histolab

Library for Digital Pathology Image Processing

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

IDHmut

Deep learning aids prediction of IDH mutation status from histopathological whole slide images (WSI)

im4MEC

Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts'.

nic_train

library for weak whole slide learning with attention to compress and classify whole slide images

OPM

OpenSlide Patch Manager

PathomicFusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

portfolio

A modern static resume template and theme. Powered by Jekyll and GitHub pages.

pysurvival

Open source package for Survival Analysis modeling

SCNN

Survival Convolutional Neural Networks

shubhaminnani.github.io