This was my research project at IIT Bombay on Lung Segmentation from Chest X-Rays Images

This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.

Straightforward top-5% Car Masking Pipeline for the Carvana Image Masking Challenge

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

pytorch implementation of UNet++（Nested UNet）

SAGAN implementation in pytorch for image colorization task.

PyTorch1.0 Implementation of Unet

This repo includes Unet, Spatial CNN (S-CNN) and VPNet for lane segmentation, and YOLO, Faster-RCNN, Stereo-RCNN for vehicle detection.

Analyzing the performance of different types of convolutional filters for image segmentation purposes.

Liver Lesion Segmentation with 2D Unets

This project is the implementation of Dynamic U-Net architecture on Caravan Mask Challenge Dataset. A state of the art technique that has won many Kaggle competitions and is widely used in industry. Image segmentation models allow us to precisely classify every part of an image, right down to pixel level.

UNet 2.0 - Pytorch implementation of the U-Net 2.0 for image semantic segmentation, with processing blocks for noisy images

My solution to the SIIM-ACR Pneumothorax Segmentation Challenge on Kaggle, which got the 34th place (Top3%).

PyTorch implementation of U-Net image segmentation for Kaggle Data Science Bowl 2018 competition

Lung Segmentation UNet model on 3D CT scans

Unet based on Wavelet coefficients for segmentation