slowvak

MachineLearningForMedicalImages

Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)

AI-Deep-Learning-Lab

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab

MIDL-C

Medical Imaging Deep Learning Course

MC-ImageWrangling

tools and notebook for manipulating images

MC4-TensorflowUNet

MIDeL

FeatureSelectionTutorial

Colab notebook to teach about feature selection

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

camunda-external-task-client-python3

Camunda External Task Client in Python

DICOM_to_csv

traverses a folder system and finds all DICOM files and puts selected tags intoa CSV file.

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

PyTorch-Pix-2-Pix

Pytorch implmentation of pix2pix