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maper

Multi-atlas propagation with enhanced registration

med-imagetools

Transparent and reproducible medical image processing pipelines in Python.

med3web

Med3Web is a high performance web tool for advanced 2-D and 3-D medical visualizations.

medical-cost-regression-analysis

The dataset, originally from US Census Bureau, contains individual medical costs of 1338 persons and their personal features.

medical-image-analysis-ipython-tutorials

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

medicalimaging

Tutorials that take an in depth look at how to view and manipulate DICOM images and how to get them ready for machine learning

medimg_py_library

A python library for medical image processing, built by the medical imaging group of Dalian Univerisity of Technology, China

medimreg_sc

Deformable Medical Image Registration: Success Classification

meeting

Prepare agenda, invite users and record minutes of a meeting

megawidget

Megawidgets for desktop app

mercure

mercure DICOM Orchestrator

mermaid

Image registration using pytorch

metaplanner

MetaPlanner is an open source automated treatment planning method that performs meta-optimization of treatment planning hyperparameters. It is meant for educational/research purposes and supports planning in MatRad using one of their experimental branches.

midas-journal-322

Level Set Segmentation: Active Contours without edge

mideepseg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

mirna_lca_diagnostics

Capstone Project "miRNA Biomarker for Lung Cancer Diagnostics"

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

mlcourse.ai

Open Machine Learning Course

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mml-companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

molecular_classification_capstone

Project for capstone in Applied Mathematics at SUNY Oswego. Classification of cancers through genomic mircoarray samples

mri-analysis-pytorch

MRI analysis using PyTorch and MedicalTorch

mridb

An end-to-end data management system for MRI

mtl-segthor

Dependent Multi-Task Learning for the Segmentation of Thoracic Organs at Risk in CT Images

multi-modal-learning

Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.

nagini

A set of Python scripts for processing quantitative PET data.

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

nnunet