Highway lane segmentation Dataset

Implementation of U Net architecture on RVSC dataset

segmentation tutorial on U-NET pytorch

An comprehensive PyTorch implementation of UNET model.

Semantic Segmentation of Covid 19 scans

Ford Otosan Internship Project 2020 || Freespace Segmentation.

Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

Domain Adaptive Based Semantic Segmentation

Semantic Segmentation on the Indian Driving Dataset for the NVCPRIPG 2019 Challenge

Road Segmentation Using Aerial Images

Find the nuclei in divergent images to using UNet

Deep-Learning-Based Segmentation of Small Extracellular Vesicles in Transmission Electron Microscopy Images

Brain Tumor Image segmentation-Brats2019, 2020, 2021

discusses deep learning models for segmenting MRI images, specifically the UNET model for Brain Tumor Segmentation

Interactive annotation tool for 3D TIFF volumes with planar views, integrated automatic UNET predictions and live volume rendering for semi-automated semantic binary annotations.

Biomedical Image Segmentation using Unet with PyTorch

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps reduce the number of premature deaths. In the study, I am working on creating a convolutional neural network capable of identifying tumor areas within medical images (which were taken with ultrasound).

Tensorflow based framework for 3D-Unet with Knowledge Distillation

🧠💻 USeS-BPCA: U-Net Semantic Segmentation BPCA Pooling