Git Product home page Git Product logo

respectknowledge / pytorch--3d-medical-images-segmentation--salmon Goto Github PK

View Code? Open in Web Editor NEW

This project forked from davidiommi/pytorch--3d-medical-images-segmentation--salmon

0.0 0.0 0.0 15.76 MB

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

Home Page: https://zmpbmt.meduniwien.ac.at/wissenschaft-forschung/qimp/

License: MIT License

Python 100.00%

pytorch--3d-medical-images-segmentation--salmon's Introduction

  • πŸ”­ I’m currently working on Deep Learning and machine learning projects
  • 🌱 I’m currently learning semi or unsupervised methods for segmentation, classification
  • πŸ‘― I’m looking to collaborate on research and projects for industery.

------------------------------ MICCAI 2022 challenges contribution ------------------------------------------------

  • CuRIOUS 2022 Segmentation Challenge (1st Position)
  • CMRxMotion challenge(4th position)
  • Multi-domain Cross-time-point Infant Cerebellum MRI Segmentation 2022 (cSeg-2022)(4th position)
  • Multi-site, Multi-Domain Airway Tree Modeling (ATM’22) (6th position)
  • The 2022 Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT) (9th position)
  • Ischemic Stroke Lesion Segmentation Challenge - ISLES'22(10th position)
  • Kidney PArsing Challenge 2022(Multi-Structure Segmentation for Renal Cancer Treatment) (11th position)
  • Pulmonary Artery Segmentation Challenge 2022 (16th position)

----------------------------------------------MICCAI 2021 challenges contribution---------------------------------------------------------------------

  • Challenge: Diabetic Foot Ulcer Challenge 2021 (4th position)

  • Challenge: FetReg 2021: Placental Vessel Segmentation and Registration in Fetoscopy(4th position)

  • Challenge: Foot Ulcer Segmentation Challenge 2021(5th position)

  • Challenge: MICCAI 2021 FLARE Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation(7th position)

  • Challenge: HEad and neCK TumOR (HECKTOR)segmentation and outcome prediction in PET/CT images 2021(14th position)

  • Challenge: Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI(10th position)

  • Challenge: Fetal Brain Tissue Annotation and Segmentation Challenge (Feta2021)(13th position)

  • Challenge: Chest XR COVID-19 detection (Grand challenge website)(6th position)

  • Challenge:AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge(13th position)

  • Challenge: KNIGHT Challenge (Kidney clinical Notes and Imaging to Guide and Help personalize Treatment and biomarkers discovery)(5th position)

  • πŸ“« How to reach me: [email protected]

pytorch--3d-medical-images-segmentation--salmon's People

Contributors

davidiommi avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.