Discover @DebeshJha Open Source projects

Debesh Jha (@DebeshJha)

DebeshJha

Stars
879
Global Rank 34,677 (Top 2 %)
Followers 141
Following 69
Registered over 6 years ago
Most used languages

Python
100.0 %
Location 🇺🇸 United States
Country Total Rank 14,386
Country Ranking

Python
1,906

2020-CBMS-DoubleU-Net

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

ResUNetPlusPlus

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

ResUNetPlusPlus-with-CRF-and-TTA

Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

ColonSegNet

Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

GastroVision

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing

NanoNet

Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)

TransNetR

Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)

PolypGen

A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y

PVTFormer

Liver segmentation using Deep Learning on LiTS 2017 Dataset

UNet-insturment-segmentation

Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos

Kvasir-Instrument

GitHub repository for the Kvasir-instrument dataset

PolypDB

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

ResUNetplusplus-PyTorch-

PyTorch implementation of ResUNet++ for Medical Image segmentation

Kvasir-SEG

Kvasir-SEG: A Segmented Polyp Dataset

2020-MediaEval-Medico-polyp-segmentation

GitHub repository for Medico automatic polyp segmentation challenge

DoubleUNet

PyTorch implementation of DoubleUNet for medical image segmentation

TransRUPNet

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation (IEEE EMBC)

LightLayers

LightLayers: Parameter Efficient Dense and convolutional Layers for Image Classification (PDCAT-PAAP)

opendatasets

Free datasets for open research, and development

Kvasircapsule-SEG

NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]

Doubleunet_pytorch

Official implementation of DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation (pytorch implementation)

confusionmatrix

MDNet

Multi Decoder Network for Polyp Segmentation

Labelling_tool

List of labelling tools for computer vision tasks

reproducible_models

Reproducible deep learning models with weight files for method comparison.

DebeshJha