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Name: huihui
Type: User
Name: huihui
Type: User
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
The manuscript has been accepted in TMI.
Context aggregation network for semantic labeling in aerial images.
Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford
Dilated Convolution for Semantic Image Segmentation
just some test exercises
Fully Convolutional DenseNets for semantic segmentation.
SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation
Graph cut image segmentation with custom GUI.
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
厦大硕士论文Latex模板
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
PyTorch implementation of ICCV2019 paper Miss Detection vs. False Alarm: Adversarial Learing for Small Object Segmentation in Infrared Images.
The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is proposed in ICCV2019 paper "Huan Wang, Luping Zhou and Lei Wang. Miss Detection vs. False Alarm: Adversarial Learing for Small Object Segmentation in Infrared Images. International Conference on Computer Vision, Oct.27-Nov.2,2019. Seoul, Republic of Korea".
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
Worked on the enhancement of microcalcifications in mammogram using normalised tsallis entropy for detection of breast cancer.
A simple GUI for YOLO breast cancer mass detection
GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)
End-to-end image segmentation kit based on PaddlePaddle.
Mammographic mass segmentation using machine learning
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)
Tensor Low-rank Reconstruction for Semantic Segmentation
Code used for research
A segmentation algorithm for mass lesions in mammography.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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.