LAVI-USP/pyDBT

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Created almost 5 years ago
Updated over 1 year ago

LAVI-USP/pyDBT

LAVI-USP

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This package is a python extension of the DBT toolbox from LAVI-USP

DBT-Reconstruction

LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)

IWBI2022-PSloss

This repository contains the training and testing codes for the paper "Imposing noise correlation fidelity on digital breast tomosynthesis restoration through deep learning techniques", submitted to the IWBI 2022 conference.

SPIE2022

Restore low-dose DBT projections using VCT software

DMAR2dCT

Deep Learning Metal Artifact Reduction for 2D Computed Tomography

Jupyter Notebook

MCInsertionPackage-DBT

Computational method to perform the artificial insertion of microcalcifications in normal mammograms

MCInsertionPackage_2020

This is a new algorithm to insert microcalcification clusters into Digital Mammograms.

2AFC_Interface

GUI for 2AFC and other image evaluation tests

NoiseDecorrelation-DBT

This repository contains the training and testing codes for the paper "Suppressing noise correlation in digital breast tomosynthesis using convolutional neural network and virtual clinical trials", submitted to the IWBI 2022 conference

SPIE2023-ImageQuality

It contains the codes for the paper "Assessing the impact of correlated noise in digital mammography: a virtual clinical trial", submitted to the SPIE 2023 conference.

MRI_denoising