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Antonio Oseas de Carvalho Filho

Showing results (1-10 of 8) with videos related to

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Medical & Biological Engineering & Computing|October 19, 2016
3D shape analysis to reduce false positives for lung nodule detection systemsAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Journal of Digital Imaging|May 21, 2017
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVMAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Medical & Biological Engineering & Computing|October 5, 2016
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVMAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Journal of Digital Imaging|October 4, 2014
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVMJoberth de Nazaré Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, et al.
Pattern Recognition|June 14, 2021
COVID-index: A texture-based approach to classifying lung lesions based on CT imagesVitória de Carvalho Brito, Patrick Ryan Sales Dos Santos, Nonato Rodrigues de Sales Carvalho, et al.
Computers in Biology and Medicine|December 22, 2014
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVMFernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, et al.
Artificial Intelligence in Medicine|December 17, 2013
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity indexAntonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, et al.
Medical & Biological Engineering & Computing|May 24, 2018
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distanceRobherson Wector de Sousa Costa, Giovanni Lucca França da Silva, Antonio Oseas de Carvalho Filho, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical & Biological Engineering & Computing|October 19, 2016
3D shape analysis to reduce false positives for lung nodule detection systemsAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Journal of Digital Imaging|May 21, 2017
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVMAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Medical & Biological Engineering & Computing|October 5, 2016
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVMAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, et al.
Journal of Digital Imaging|October 4, 2014
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVMJoberth de Nazaré Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, et al.
Pattern Recognition|June 14, 2021
COVID-index: A texture-based approach to classifying lung lesions based on CT imagesVitória de Carvalho Brito, Patrick Ryan Sales Dos Santos, Nonato Rodrigues de Sales Carvalho, et al.
Computers in Biology and Medicine|December 22, 2014
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVMFernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, et al.
Artificial Intelligence in Medicine|December 17, 2013
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity indexAntonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, et al.
Medical & Biological Engineering & Computing|May 24, 2018
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distanceRobherson Wector de Sousa Costa, Giovanni Lucca França da Silva, Antonio Oseas de Carvalho Filho, et al.
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