YangJay2004's Stars
Kyle-Ye/XcodeLLMEligible
YingtongDou/CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
lukakerr/Pine
A modern, native macOS markdown editor
voideditor/void
AI-in-Health/MedLLMsPracticalGuide
A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
getcursor/cursor
The AI Code Editor
zzhuncle/TJCS-Undergraduate-Courses
TJCS-Undergraduate-Courses
Felixduelmer/phocus
Code repository for the Workshop of Advances in Simplifying Medical Ultrasound at MICCAI 2024 "PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement"
ShreeramAthreya/CDX-USChallenge
MICCAI 2023 Ultrasound Enhancement Challenge submission
tristan-deep/dehazing-diffusion
Official code repository for the paper: Dehazing Ultrasound using Diffusion Models
zhilin007/FFA-Net
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
lajipeng/Tumor-Segmentation-of-Ultrasound-Breast-Images
omar-mohamed/Breast-Cancer-Birads-Classification
This is a deep learning project to classify breast cancer (Birads from 1 to 5) from mammography and CEDM Images.
nyukat/BIRADS_classifier
High-resolution breast cancer screening with multi-view deep convolutional neural networks
sarah-antillia/EfficientDet-Augmented-Breast-Ultrasound-Images
EfficientDet Augmented Breast Ultrasound Images Classification
anasiri/BU-Mamba
Vision Mamba for Classification of Breast Ultrasound Images [MICCAI 2024, Deep-Breath Workshop]
HasibAlMuzdadid/Breast-Ultrasound
Sample codes regarding the research paper titled "A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging".
Dumbldore/BI-RADS_classification
Segmentation-based BI-RADS Classification of Breast Tumours in Ultrasound Images
0m0D1NGR0NALD/Breast-Cancer-Classification-Using-Segmentation-Ultrasound-Images
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images.
sudipansaha/ultrasoundACGANClassification
Ultrasound image classification using ACGAN
hungntt/xai_thyroid
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
tf2bb/Ultrasound-AI
This project includes a variety of ultrasound image processing, such as enhancement, generation, classification, etc.
LeeKeyu/abdominal_ultrasound_classification
Combining deep neural networks with PCA and k-NN classification for abdominal organ recognition in ultrasound images.
human-analysis/neural-architecture-transfer
Neural Architecture Transfer (Arxiv'20), PyTorch Implementation
mobulan/MPSA
Source code of the paper Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification
hehonghui/awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
bubbliiiing/unet-pytorch
这是一个unet-pytorch的源码,可以训练自己的模型
xiaosanmeng/Population-Density
公共交通出行人群密度估计和信息发布系统
ceoluo/Population-Density
公共交通出行人群密度估计和信息发布系统
qunshansj/YOLO_Deepsort_Traffic_Flow_Counting
基于YOLO&Deepsort的交通车流量统计系统(源码&部署教程)