Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)

DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)

This is a full implementation of UNet using TensorFlow low level API, high level API and Keras

Brain Tumor Segmentation dataset using TensorFlow

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.

This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

Deep Learning Based Cell Segmentation

Human Hair Segmentation using the UNETR (U-Net Transformers) in TensorFlow

CNN for Synovitis Segmentation in MRI

In this project, I developed and trained a model that uses the Deep Lab V3 Plus architecture for image segmentation — trained particularly on human figures (faced, bodies, et cetera). The model as well as the code to run the model has been provided.

Código adaptado da FCN-VGG19 para a segmentação de teto.

SOTA 3D Medical Segmentation framework (UNET++, TransUNET , SwimTransUNET) in TensorFlow. Fully TPU-optimized with a 3-stage OHEM pipeline for the Medical Segmentation Decathlon (MSD).

The repository for the problem statement "The Eye in the Sky" for the Inter IIT Tech Meet 2018 at IIT Bombay

Nucleia image segmentation with U-net...