LAVI-USP/IWBI2022-PSloss LAVI-USP/IWBI2022-PSloss

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Python
  • License
    GNU General Publi...
  • Created about 3 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
LAVI-USP/IWBI2022-PSloss
github

LAVI-USP

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

DBT-Reconstruction

LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
MATLAB
51
star
2

pyDBT

This package is a python extension of the DBT toolbox from LAVI-USP
C++
9
star
3

SPIE2022

Restore low-dose DBT projections using VCT software
Python
4
star
4

DMAR2dCT

Deep Learning Metal Artifact Reduction for 2D Computed Tomography
Jupyter Notebook
4
star
5

MCInsertionPackage-DBT

Computational method to perform the artificial insertion of microcalcifications in normal mammograms
Python
3
star
6

MCInsertionPackage_2020

This is a new algorithm to insert microcalcification clusters into Digital Mammograms.
MATLAB
1
star
7

2AFC_Interface

GUI for 2AFC and other image evaluation tests
Python
1
star
8

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
Python
1
star
9

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.
MATLAB
1
star
10

MRI_denoising

1
star