vivek231

Skin-Project

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention

breast_tumor_segmentation

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

Benchmark-ELM-Line-OCT-Dataset

Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes

LungINFseg

LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on Receptive-Field-Aware Deep Learning Framework

3DUNet-Pytorch

3DUNet implemented with pytorch

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

detection-tumor-position

the boundary detection of the tumor

H2Former

IP-IRM

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

LoveDA

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Min_Max_Similarity

A contrastive learning based semi-supervised segmentation network for medical image segmentation

miseval

a metric library for Medical Image Segmentation EVALuation

NucSeg

pycococreator

Helper functions to create COCO datasets

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

RotationDetection

This is a tensorflow-based rotation detection benchmark, also called UranusDet.

SegCaps.pytorch

A pytorch implementation of SegCaps.

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

stanford_campus_segmentation

This repository contains code for semantic segmentation of objects at https://cvgl.stanford.edu/projects/uav_data/

TilGenPro

Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.

UNet-AerialSegmentation

A PyTorch implementation of U-Net for aerial imagery semantic segmentation.

VT-UNet

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

WSI-HGNN

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning - CVPR 2023