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25–48 of 65 · Most stars

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.

  • histopathology-images
  • microscopy
  • sliding-windows
  • medical-image-analysis

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

  • awesome
  • biomedical
  • text-mining
  • information-extraction

Electronic Health Record Analysis with Python.

  • scverse
  • electronic-health-record
  • electronic-medical-record
  • ehr

An offline-first, self-hosted web app to aggregate and sync all of your medical records from your patient portals in one place.

Kaapana 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. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

TranslatedMedical paper writing and research assistant: 32 Agent Skills for Chinese physicians and medical graduate students, usable with Claude Code and Codex, covering topic selection, PubMed literature search, Chinese and English writing, journal selection and submission, and peer review and revision. Medical writing & research skills.

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

  • nlp
  • medical
  • text-mining
  • clinical-data-warehouse

One command downloads a complete offline, no-internet emergency library: local AI (CPU/GPU), document Q&A, full Wikipedia, offline maps for any country/region (default US), survival/repair/medical archives, and public-domain manuals. Asks only where to save.