Breast cancer histopathology image segmentation using U-Net. This repository implements U-Net for accurate segmentation of cancerous regions. It includes data augmentation, mixed precision training, checkpointing, and evaluation metrics like Dice score to improve model performance.

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

Simple tool for looking at 3D images

Deployment optimized fast person segmentation module in python and cpp

This project aims to create a deep learning based model for the segmentation of brain tumours and their subregions from MRI scans, as well as the prediction of patient survival . The segmentation is performed using a U-Net architecture, while survival prediction is done using CNN models.

A deep learning project for accurate retinal vein segmentation using U-Net model. This repository includes detailed steps for data preprocessing, model training, and evaluation on the DRIVE dataset.

The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

Segmentation models for 3D data with different backbones. PyTorch.

This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

Iterative Vertebrae Segmentation - VerSe dataset

Domain Adaptive Based Semantic Segmentation

Road Segmentation Using Aerial Images

This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.

Brain Tumor Image segmentation-Brats2019, 2020, 2021

Highway lane segmentation Dataset

Landmark detection and humeral implant positioning with lightweight machine learning models.

Automated segmentation of H&E and Immunohistochemistry stained synovial tissue in histopathology Whole Slide Images - MIUA 2023

PyTorch implementation of the UNet model for image semantic segmentation

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.