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@DIAGNijmegen

Diagnostic Image Analysis Group

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  1. neural-odes-segmentation neural-odes-segmentation Public

    Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

    Python 108 28

  2. StreamingCNN StreamingCNN Public

    To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of …

    Jupyter Notebook 101 23

  3. pathology-whole-slide-data pathology-whole-slide-data Public

    A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

    Python 96 28

  4. pathology-streaming-pipeline pathology-streaming-pipeline Public

    Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

    Python 77 10

  5. pathology-hooknet pathology-hooknet Public

    Jupyter Notebook 57 11

  6. picai_labels picai_labels Public

    Annotations for the PI-CAI Challenge: Public Training and Development Dataset

    56 25

Repositories

Showing 10 of 186 repositories
  • dragon_sample_reports Public

    Sample reports for the DRAGON benchmark (fully anonymized)

    DIAGNijmegen/dragon_sample_reports’s past year of commit activity
    0 0 0 0 Updated Feb 19, 2025
  • website-content Public

    This repository stores all the content for the diag websites.

    DIAGNijmegen/website-content’s past year of commit activity
    TeX 6 MIT 74 28 (1 issue needs help) 13 Updated Feb 19, 2025
  • Literature Public

    The literature generated and cited by the group

    DIAGNijmegen/Literature’s past year of commit activity
    TeX 0 3 0 0 Updated Feb 19, 2025
  • dragon_baseline Public

    Baseline training algorithm for the DRAGON challenge (dragon.grand-challenge.org)

    DIAGNijmegen/dragon_baseline’s past year of commit activity
    Python 1 Apache-2.0 1 0 0 Updated Feb 19, 2025
  • PI-CAIWeb Public

    Repository for PI-CAI website

    DIAGNijmegen/PI-CAIWeb’s past year of commit activity
    0 0 0 0 Updated Feb 19, 2025
  • DIAGNijmegen/dragon_submission_llm_extractinator_gemma2’s past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Feb 19, 2025
  • dragon_submission_LLM_data_extractor Public Forked from DIAGNijmegen/dragon_submission

    Submission to the DRAGON challenge (dragon.grand-challenge.org) using LLM_data_extractor

    DIAGNijmegen/dragon_submission_LLM_data_extractor’s past year of commit activity
    Python 0 Apache-2.0 2 0 0 Updated Feb 19, 2025
  • llm_extractinator Public

    This project enables the efficient extraction of structured data from unstructured text using large language models (LLMs). It provides a flexible configuration system and supports a variety of tasks.

    DIAGNijmegen/llm_extractinator’s past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Feb 19, 2025
  • dragon_roberta_large_domain_specific_v2 Public

    DRAGON RoBERTa Large Domain-specific V2

    DIAGNijmegen/dragon_roberta_large_domain_specific_v2’s past year of commit activity
    Shell 0 Apache-2.0 0 0 0 Updated Feb 18, 2025
  • dragon_prep Public

    Preprocessing scripts for the DRAGON benchmark

    DIAGNijmegen/dragon_prep’s past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Feb 18, 2025

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