LAVI (Laboratory of Computer Vision)

LAVI (Laboratory of Computer Vision)'s repositories

DBT-Reconstruction

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

Language:MATLABGPL-3.049 9 6

pyDBT

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

Language:C++GPL-3.013 3 3

DMAR2dCT

Deep Learning Metal Artifact Reduction for 2D Computed Tomography

Language:Jupyter NotebookGPL-3.04 20

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.

Language:PythonGPL-3.0400

SPIE2022

Restore low-dose DBT projections using VCT software

Language:PythonGPL-3.0400

MCInsertionPackage-DBT

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

Language:PythonGPL-3.03 10

MCInsertionPackage_2020

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

Language:MATLABNOASSERTION2 10

2AFC_Interface

GUI for 2AFC and other image evaluation tests

Language:Python100

CNNonVST

Language:PythonGPL-3.01 10

MRI_denoising

100

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

Language:PythonGPL-3.0100

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.

Language:MATLABNOASSERTION100

CMLMP

Algorithms for Completed Mean Local Mapped Pattern - CMLMP

Language:MATLAB020

IWBI2022-ImageQuality

It contains the codes for the paper "Using virtual clinical trials to assess objective image quality metrics in the task of microcalcification localization in digital mammography", submitted to the IWBI 2022 conference.

Language:MATLABNOASSERTION000

Machine-Learning

Study and implementation about deep learning models, architectures, applications and frameworks

Language:Jupyter Notebook020

MCInsertionPackage

This is an agorithm to insert microcalcification clusters into Digital Mammograms

Language:PythonNOASSERTION010

.github

000

lavidb

000

SEL0449-SEL5895_2024

Introdução ao Processamento Digital de Imagens (SEL0449/SEL5895 - 2024)

Language:Jupyter Notebook000

SEL0629

SEL 0629 - APLICAÇÃO DE MICROPROCESSADORES I

000