Python Imaging Library (fork)
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Python Imaging Library (fork)
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging, and more.
A platform for end-to-end development of machine learning solutions in biomedical imaging
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.
A set of common support code for medical imaging, surgical navigation, and related purposes.
Python package to access a cacophony of neuro-imaging file formats
MNE-CPP: The C++ framework for real-time functional brain imaging.
3D medical imaging reconstruction software
Apache Commons Imaging (previously Sanselan) is a pure-Java image library
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Resources for learning the principles of magnetic resonance imaging (MRI)
PSOC5 floppy disk imaging interface
tracking medical datasets, with a focus on medical imaging
AI Toolkit for Healthcare Imaging
Scientific Computational Imaging COde
A collection of resources on applications of multi-modal learning in medical imaging.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
A user-friendly, lightweight TUI for disk imaging
📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)
N.I.N.A. (Nighttime Imaging 'N' Astronomy) - Advanced astrophotography sequencing software for Windows, supporting full automation of imaging sessions.
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Software that employs the level-set method for inverse gravimetry