Debesh Jha
DebeshJha
Assistant Professor working on medical image analysis using deep learning.
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Top Repositories
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection (https://osf.io/84e7f/)
PyTorch implementation of ResUNet++ for Medical Image segmentation
Repositories
101PyTorch implementation of ResUNet++ for Medical Image segmentation
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
No description provided.
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection (https://osf.io/84e7f/)
Kvasir-SEG: A Segmented Polyp Dataset
Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
No description provided.
PyTorch implementation of DoubleUNet for medical image segmentation
GitHub repository for the Kvasir-instrument dataset
A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y
Official implementation of DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation (pytorch implementation)
Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos
Abdominal Organ Segmentation using Multi Decoder Network (MDNet) [Accepted at ICASSP 2025]
No description provided.
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
Liver segmentation using Deep Learning on LiTS 2017 Dataset
No description provided.
NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]
No description provided.
GitHub repository for Medico automatic polyp segmentation challenge
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
No description provided.
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
No description provided.
No description provided.
List of labelling tools for computer vision tasks
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
Reproducible deep learning models with weight files for method comparison.