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@NKI-AI

NKI AI for Oncology Lab

The AI for Oncology Lab's mission to is to develop AI innovations which improve cancer diagnosis and therapy.
README.md

AI for Oncology Lab

The mission of the AI for Oncology Lab is to develop artificial intelligence innovations for the improvement of cancer diagnostics and therapy.

Pinned

  1. direct direct Public

    Deep learning framework for MRI reconstruction

    Python 222 40

  2. dlup dlup Public

    Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute

    Python 26 7

  3. slidescore-api slidescore-api Public

    Python utilities to interface with SlideScore

    Python 3 3

  4. xdrt xdrt Public

    XDRT (XDR Toolkit) is a python toolkit to work with the Elekta XDR and XVI file formats.

    Python 13 4

  5. openslide-go openslide-go Public

    Unofficial OpenSlide bindings for Golang

    Go

  6. ahcore ahcore Public

    Ahcore is the AI for Oncology core computational pathology toolkit

    Python 13 1

Repositories

Showing 10 of 41 repositories
  • direct Public

    Deep learning framework for MRI reconstruction

    Python 222 Apache-2.0 40 2 0 Updated Jun 2, 2024
  • dlup Public

    Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute

    Python 26 Apache-2.0 7 4 3 Updated Jun 2, 2024
  • ahcore Public

    Ahcore is the AI for Oncology core computational pathology toolkit

    Python 13 Apache-2.0 1 18 5 Updated May 31, 2024
  • itsper Public

    A simple CLI utility for computing the intra-tumoral stroma percentage biomarker from segmentations of histopathological tumor lesions.

    Python 0 MIT 0 0 0 Updated May 31, 2024
  • kosmos-documentation Public

    Documentation for the use of the internal AI for Oncology cluster Kosmos

    Makefile 1 2 0 2 Updated May 16, 2024
  • slidescore-api Public

    Python utilities to interface with SlideScore

    Python 3 Apache-2.0 3 8 4 Updated Apr 30, 2024
  • STAPLER Public

    STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint TCRab-peptide input to predict TCRab-peptide specificity.

    Python 22 Apache-2.0 1 0 0 Updated Apr 24, 2024
  • libisyntax Public Forked from amspath/libisyntax
    C 0 BSD-2-Clause 7 0 0 Updated Mar 10, 2024
  • kosmos-cluster Public Forked from NVIDIA/deepops

    Tools for building GPU clusters

    Jinja 1 BSD-3-Clause 320 0 1 Updated Mar 8, 2024
  • kandinsky-calibration Public

    Kandinsky conformal prediction for image segmentation algorithms

    Python 4 MIT 1 0 0 Updated Feb 16, 2024
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