GitHub - usb-radiology/pleuraleffusion (original) (raw)

Skip to content

Navigation Menu

• • GitHub Copilot Write better code with AI
  • Security Find and fix vulnerabilities
  • Actions Automate any workflow
  • Codespaces Instant dev environments
  • Issues Plan and track work
  • Code Review Manage code changes
  • Discussions Collaborate outside of code
  • Code Search Find more, search less
• Explore
  • Learning Pathways
  • White papers, Ebooks, Webinars
  • Customer Stories
  • Partners
  • Executive Insights
• • GitHub Sponsors Fund open source developers
  • The ReadME Project GitHub community articles
• • Enterprise platform AI-powered developer platform
• Pricing

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Sign up

Repository files navigation

• README

Segmentation and classification of pleural effusion

Contents

Segmentation

using nnUNet

Classification

using pleural_effusion/classify_prediction.py

nora_scripts

See README.md inside nora_scripts

Virtual env

Currently used virtualenv ist nnunet3.7

Required libs

• nnunet
• sklearn
• argparse
• pickle

nnU-Net model

download link: xxxxx/zenodo.xxxxxx