computed-tomography topic
LEAP
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python API and fully integrated with PyTorch
DLPE-method
A comprehensive platform for analyzing pulmonary parenchyma lesions on chest CT.
DEEP-NEGATIVE-VOLUME
Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry
CTSegNet
CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
PET_DeepAttCorrection
Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Networks
CPCE-3D
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Comp2Comp
Computed tomography to body composition (Comp2Comp).
PyTV-4D
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
ciclope
Computed Tomography to Finite Elements
svmbir
Fast code for parallel or fan beam tomographic reconstruction