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A curated list of awesome computer vision resources
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
Benchmarking toolkit for patch-based histopathology image classification.
Advanced Histopathology Image Classification via Supervised Contrastive Deep Learning
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This Repository consists of Chest X-Ray Dataset for COVID-19 patients, Pneumonia Patients and Healthy Patients.
Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques.
Deep Clustering for Unsupervised Learning of Visual Features
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
DiagSet: a dataset for prostate cancer histopathological image classification
the code of the article "Deep learning-based classification of hepatocellular nodular lesions on whole-slide histopathologic images"
HistopathAI: An Efficient Generalized Deep Learning Framework for Histopathology Image Classification using Supervised Contrastive Learning
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Useful linux cmds
Config files for my GitHub profile.
Advanced Histopathology Image Classification via Supervised Contrastive Deep Learning
整理 pytorch 单机多 GPU 训练方法与原理
A collection of loss functions for medical image segmentation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022
A toolkit of spatial transcriptomic analysis.
Stain normalization tools for histological analysis and computational pathology
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.