Medical Imaging Python Packages

itk-io

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk-registration

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk-filtering

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk-core

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk-numerics

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

itk-segmentation

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

dipy

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

antspyx

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

medmnist

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

monai-generative

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

torchstain

Stain normalization tools for histological analysis and computational pathology

cucim

cuCIM - RAPIDS GPU-accelerated image processing library

rt-utils

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

django-large-image

🩻 🗺️ Django endpoints for working with large images for tile serving

cucim-cu12

cuCIM - RAPIDS GPU-accelerated image processing library

albumentationsx

Next-generation Albumentations: dual-licensed for open-source and commercial use

aignostics

🔬 Python SDK providing access to the Aignostics Platform. Includes Aignostics Launchpad (Desktop Application), Aignostics CLI (Command-Line Interface), example notebooks, and Aignostics Client Library.

miutil

Basic functionality needed for AMYPAD

dicomrttool

Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images

neurite

Neural networks toolbox focused on medical image analysis

protocol

generic framework to develop protocols, with an initial focus medical imaging acquisition

pydicom-seg

Python package for DICOM-SEG medical segmentation file reading and writing