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NKI AI for Oncology Lab's Projects

ahcore icon ahcore

Ahcore is the AI for Oncology core computational pathology toolkit

ahcore-old icon ahcore-old

Ahcore are the AI for Oncology histopathology core models

cerm icon cerm

Constrained Empirical Risk Minimization

cluster-police icon cluster-police

Python utilities to prevent over usage of resources by cluster users

cryodrgn icon cryodrgn

Neural networks for cryo-EM reconstruction

dicom-tools icon dicom-tools

Tools to parse large DICOM database to formats suitable for deep learning

dicomtk icon dicomtk

DICOM Toolkit (dicomtk) is a Python library that parses a variety of dicom files into an SQLite database and can export to other formats.

direct icon direct

Deep learning framework for MRI reconstruction

dlup icon dlup

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

dlup-lightning-mil icon dlup-lightning-mil

dlup-lightning-mil is an installable repo to easily train deep learning classifiers/regressors on gigapixel histopathology images using DLUP datasets or extracted features from HISSL

ece_loss icon ece_loss

A PyTorch implementation of the Exclusive Cross Entropy Loss.

hissl icon hissl

Histology Self-Supervised Learning

histoqc icon histoqc

HistoQC is an open-source quality control tool for digital pathology slides

itsper icon itsper

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

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