deepmd-cancer Goto Github PK
Type: Organization
Type: Organization
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
This is the repository for the BioImage Suite Web Project
Brainchop.org: In-browser 3D MRI segmentation
CAP cancer reporting templates
Colonoscopy polyps detection with CNNs
Deep Learning-based Assessment of Endomyocardial Biopsies
PyTorch implementation of DblurDoseNet
Shows an example how to train a keras model for brain lesion segmentation and how to use keras.js to run the inference path in the browser
Creating a CNN to assist in the prediction of mechanical thrombectomy outcomes on patients with acute ischemic stroke.
Machine learning tool for analysis of lung adenocarcinoma tumors
My code using PSPNet for MICCAI Gleason Challenge 2019
⚡ H2G-Net for Semantic Segmentation of Histopathological Images
Multi-class U-Net for head CT segmentation
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
Package for automatic liver segmentation in CT using a trained deep learning model.
Diagnosis of histologic growth patterns of lung cancer in digital slides using deep learning.
Classification of histopathology images to identify tumor types.
Automatic end-to-end lung tumor segmentation from CT images.
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics.
NGS Quality Reporting App
My nnUNet fork with minor modification and Docker image for MICCAI StructSeg challenge and VerSe challenge.
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation
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.