lavi-usp Goto Github PK
Name: LAVI (Laboratory of Computer Vision)
Type: Organization
Bio: Research group at University of São Paulo (USP) - São Carlos School of Engineering (EESC)
Location: University of São Paulo, Brazil
Name: LAVI (Laboratory of Computer Vision)
Type: Organization
Bio: Research group at University of São Paulo (USP) - São Carlos School of Engineering (EESC)
Location: University of São Paulo, Brazil
GUI for 2AFC and other image evaluation tests
Algorithms for Completed Mean Local Mapped Pattern - CMLMP
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
Deep Learning Metal Artifact Reduction for 2D Computed Tomography
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.
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.
It contains the codes for the paper "Evaluating an image restoration pipeline for digital mammography across varied radiation exposures and microcalcification sizes using model observer analysis", submitted to the IWBI 2024 conference.
Study and implementation about deep learning models, architectures, applications and frameworks
This is an agorithm to insert microcalcification clusters into Digital Mammograms
Computational method to perform the artificial insertion of microcalcifications in normal mammograms
This is a new algorithm to insert microcalcification clusters into Digital Mammograms.
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
This package is a python extension of the DBT toolbox from LAVI-USP
Introdução ao Processamento Digital de Imagens (SEL0449/SEL5895 - 2024)
SEL 0629 - APLICAÇÃO DE MICROPROCESSADORES I
Restore low-dose DBT projections using VCT software
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.
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