shubhaminnani

Agriculture-Vision

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

ArtificialNeuralNetwork

Artificial Neural Networks Lab Session

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'

CLAM

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

EGAN

hovernet_inference

HoVer-Net inference code for simultaneous nuclear segmentation and classification

idd

multisurv

path_survival

skin_lesion

Two stage Framework for Skin Lesion Segmentation and Classification

shubhaminnani/EGAN

shubhaminnani/multisurv

shubhaminnani/skin_lesion

Two stage Framework for Skin Lesion Segmentation and Classification

shubhaminnani/Agriculture-Vision

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

shubhaminnani/ArtificialNeuralNetwork

Artificial Neural Networks Lab Session

shubhaminnani/CLAM

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

shubhaminnani/hovernet_inference

HoVer-Net inference code for simultaneous nuclear segmentation and classification

shubhaminnani/idd

shubhaminnani/path_survival

shubhaminnani/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'

shubhaminnani/GaNDLF

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

shubhaminnani/histolab

Library for Digital Pathology Image Processing

shubhaminnani/hover_net

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

shubhaminnani/IDHmut

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

shubhaminnani/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'.

shubhaminnani/nic_train

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

shubhaminnani/OPM

OpenSlide Patch Manager

shubhaminnani/PathomicFusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

shubhaminnani/portfolio

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

shubhaminnani/pysurvival

Open source package for Survival Analysis modeling

shubhaminnani/SCNN

Survival Convolutional Neural Networks

shubhaminnani/shubhaminnani

shubhaminnani/shubhaminnani.github.io