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Name: Healthcare Intelligence Laboratory
Type: Organization
Name: Healthcare Intelligence Laboratory
Type: Organization
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.
Code for Enhancement of High- and Low-Level Features with Improved Attention Method for Medical Image Segmentation
COVID-19 Pneumonia Lesion segmentation network
Domain Adaptation and Generalization for Medical Image Analysis
Dynamically Mixed Soft Pseudo-label Supervision for Scribble-Supervised Medical Image Segmentation
Semi-supervised Medical Image Segmentation through Dual-task Consistency
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
List shared papers in our group
Code for PF-Net (Pulmonary Fibrosis Segmentation Network)
examples of using PyMIC for medical image computing with deep learning
[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
[SegRap2023]A challenge about organ-at-risk and gross-tumor-volume segmentation in adaptive radiotherapy hosted on MICCAI2023.
Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
matlab and python wrap of crf and dense crf, both 2d and 3d are supported
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
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.