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3DUNet implemented with pytorch
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
CXRMate: Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
the boundary detection of the tumor
[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"
[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on Receptive-Field-Aware Deep Learning Framework
A contrastive learning based semi-supervised segmentation network for medical image segmentation
a metric library for Medical Image Segmentation EVALuation
Helper functions to create COCO datasets
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
This is a tensorflow-based rotation detection benchmark, also called UranusDet.
A pytorch implementation of SegCaps.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention
This repository contains code for semantic segmentation of objects at https://cvgl.stanford.edu/projects/uav_data/
Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning - CVPR 2023
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.