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Siem de Jong's Projects

dlup icon dlup

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

hhg-preprocessing icon hhg-preprocessing

Preprocessing pipeline for higher harmonic generation images for use with AI

kaobook icon kaobook

A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

lightly icon lightly

A python library for self-supervised learning on images.

mscthesis icon mscthesis

MSc Biophysics thesis on applying deep learning on HHG images for regression and pathology

n2v icon n2v

This is the implementation of Noise2Void training.

pathology-whole-slide-data icon pathology-whole-slide-data

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

prg icon prg

Software to create Precision-Recall-Gain curves and calculate area under the curve

sclicom icon sclicom

Self-supervised pretraining with CLInical COntext Multi-instance learning

skinstression icon skinstression

Perform skin stress-strain curve regression on SHG images using deep learning

slurmjob icon slurmjob

Package for starting slurm interactive sessions via your local CLI.

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