SCUT-CCNL
Communication and Computer Network Lab of Guangdong, School of Computer Science and Engineering, South China University of Technology
Guangzhou
SCUT-CCNL's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
mlfoundations/open_clip
An open source implementation of CLIP.
OpenGVLab/SAM-Med2D
Official implementation of SAM-Med2D
uni-medical/SAM-Med3D
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
ge-xing/SegMamba
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
zhaozh10/Awesome-CLIP-in-Medical-Imaging
A Survey on CLIP in Medical Imaging
HUANGLIZI/LViT
[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
huoxiangzuo/HiFuse
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
WeixiongLin/PMC-CLIP
The official codes for "PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents"
med-air/3DSAM-adapter
Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
edreisMD/ConVIRT-pytorch
🤖 🩻 Pytorch implementation of the ConVIRT Paper. Pioneer Image-Text Contrastive Learning approach for Radiology
HKU-MedAI/MGCA
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Tirth27/Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
lrsoenksen/HAIM
This repository contains the code to replicate the data processing, modeling and reporting of our Holistic AI in Medicine (HAIM) Publication in Nature Machine Intelligence (Soenksen LR, Ma Y, Zeng C et al. 2022).
YtongXie/MB-DCNN
[TMI2020]A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
SCUT-CCNL/LCQS
Robust and Efficient Lossless Compression of Quality Scores in FASTQ Files with Random Access Decompression Functionality
SCUT-CCNL/3DSIFT
multi thread implementation of 3D SIFT
SCUT-CCNL/3DSIFT-PiDVC
3D SIFT-aided Path-independent Digital Volume Correlation, multi-thread implementation
SCUT-CCNL/HiGCN
HiGCN: a hierarchical graph convolution network for representation learning of gene expression data
SCUT-CCNL/PipeMEM
A tool that run BWA-MEM in Spark
SCUT-CCNL/ADS-HCSpark
A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark
SCUT-CCNL/ifc
SCUT-CCNL/DeepAFM
SCUT-CCNL/Variant-Kudu
a scalable toolkit to analyze massive genetic variation datasets based on Kudu
SCUT-CCNL/SMM
Semantic Matching Model
SCUT-CCNL/Expl-NLI
SCUT-CCNL/KGXDP
SCUT-CCNL/KxNLI