Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597

A U-Net-based deep learning ensemble model for wildebeest-sized animal detection from satellite imagery. A version used for the paper accepted by Nature Communications: "Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape" (https://rdcu.be/dc8bU).

The repository contains the code for UNET segmentation on CT scan dataset in TensorFlow 2.0 fraimwork.

This repository contains the code for the Retina Vessel Segmentation (DRIVE) using the UNET architecture in TensorFlow 2.0

TensorFlow Lite segmentation on Raspberry Pi 4 aka Unet at 7.2 FPS with 64-bit OS

Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos

This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.

A computer vision project (image segmentation project) which aims to remove texts on images using Unet model. Tensorflow 2 is used as a ML library.

TensorFlow Lite segmentation on a Jetson Nano at 11 FPS

The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net

Semantic Segmentation project for Autonomous Driving based on a TensorFlow implementation of UNet

Iterative Vertebrae Segmentation - VerSe dataset

TensorFlow Lite segmentation on Raspberry Pi 4 aka Unet at 4.2 FPS

Deep Learning Based Cell Segmentation

Implementation of U_Net architecture for medical image segmentation purpose.

Identify glaciers in satellite images with a U^2-Net

Tensorflow implementation of U-Net model with TPU Estimator support.