Computational Imaging Python Packages

deepinv

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

scico

Scientific Computational Imaging COde

deeplens-core

DeepLens: differentiable optical lens simulator for end-to-end cameras.

xdesign

Tools for designing x-ray phantoms and experiments.

tike

Repository for ptychography software

ptyrad

PtyRAD: Ptychographic Reconstruction with Automatic Differentiation

pysera

A Python library for radiomics feature extraction with multiprocessing support

odak

Scientific computing library for optics, computer graphics and visual perception.

dflat-opt

D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurfaces, it may be used broadly for end-to-end imaging and sensing task.

pyradiomics-fix

Radiomics features library for python

pyxu

Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.

collageradiomicstypes

CoLliage Implementation

pyradiomics-cuda

CUDA-accelerated fork of PyRadiomics - a Radiomics features library for python

pyradiomics-bhklab

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

collageradiomics-types

CoLliage Implementation

collageradiomics-core

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

topology-radiomics

Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.

collageradiomicscli

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

pycsou

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

pado-optics

Pado: Pytorch Automatic Differentiable Optics

phaserem

A fully-featured package for multislice electron ptychography