🙄 Difficult algorithm, simple code.

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

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Open solution to the Mapping Challenge 🌎

Real-time portrait segmentation for mobile devices

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

A DenseBlock-Unet for Retinal Blood Vessel Segmentation

Open solution to the Data Science Bowl 2018

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

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

Open solution to the TGS Salt Identification Challenge

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

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

PyTorch implementations of recent Computer Vision tricks

Attention Unet model with post process for retina optic disc segmention

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Brain Tumor Segmentation done using U-Net Architecture.

Open solution to the Airbus Ship Detection Challenge

U-Net implementation on darknet (semantic segmentation)

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

PyTorch Implementation of 2D and 3D U-Net

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

Brain Segmentation on MRBrains18

Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.

The following is a new architecture for robust segmentation. It may perform better than a U-Net :) for binary segmentation. I will update the code when I have some spare time within the next month. However you can simply read this one and will soon notice the pattern after a bit

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

The U-Net Segmentation server (caffe_unet) for Docker

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation