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Name: Wentao Liu
Type: User
Company: Beijing University of Posts and Telecommunications
Location: Beijing
Blog: https://scholar.google.com.hk/citations?user=yBRGiogAAAAJ&hl=en
Name: Wentao Liu
Type: User
Company: Beijing University of Posts and Telecommunications
Location: Beijing
Blog: https://scholar.google.com.hk/citations?user=yBRGiogAAAAJ&hl=en
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
End-to-End Object Detection with Transformers
[MedIA2024]DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
[深度应用]·首届**心电智能大赛初赛开源Baseline(基于Keras val_acc: 0.88)
[MICCAI-FLARE2022] Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
[JBHI2022] Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
[ICASSP2022]Multiscale attention aggregation network for 2d vessel segmentation
Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
[MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Semantic segmentation models, datasets and losses implemented in PyTorch.
Implementations of recent research prototypes/demonstrations using MONAI.
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A standard style for README files
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
[MICCAI-FLARE2023]Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.