Antonio Oseas de Carvalho Filho

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Viewing Publication 1 - 29 from 29

2026

Multi-task deep learning for bacilli detection and counting in sputum smear microscopyVitória de Carvalho Brito, Patrick Ryan Sales dos Santos, Antonio Oseas de Carvalho Filho, João Otávio Bandeira Diniz. bspc, 112:108531, 2026. [doi]

2024

2021

Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning MethodsEdson Damasceno Carvalho, Romuere Rôdrigues Veloso e Silva, Mano Joseph Mathew, Flávio Henrique Duarte de Araújo, Antonio Oseas de Carvalho Filho. ISCC 2021: 1-6 [doi]

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, Antonio Oseas de Carvalho Filho. PR, 119:108083, 2021. [doi]

Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural networkNonato Rodrigues de Sales Carvalho, Maria da Conceição Leal Carvalho Rodrigues, Antonio Oseas de Carvalho Filho, Mano Joseph Mathew. ijon, 438:72-83, 2021. [doi]

An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methodsJosé Anatiel Gonçalves Santos Landim, Flávio Henrique Duarte de Araújo, Mano Joseph Mathew, Antonio Oseas de Carvalho Filho. ISCC 2021: 1-6 [doi]

BacillusNet: An automated approach using RetinaNet for segmentation of pulmonary Tuberculosis bacillusFrancisco Jose Dos Santos Reist, Mateus Assis Veloso, Filipe Mateus Moraes Rodrigues, Vitória de Carvalho Brito, Patrick Ryan Sales dos Santos, José Denes Lima Araújo, Ricardo de Andrade Lira Rabelo, Antonio Oseas de Carvalho Filho. ISCC 2021: 1-4 [doi]

2020

Generative adversarial network and texture features applied to automatic glaucoma detectionTomaz Ribeiro Viana Bisneto, Antonio Oseas de Carvalho Filho, Deborah Maria Vieira Magalhães. asc, 90:106165, 2020. [doi]

Breast cancer diagnosis from histopathological images using textural features and CBIREdson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Romuere R. V. e Silva, Flávio H. D. Araújo, João Otávio Bandeira Diniz, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass. artmed, 105:101845, 2020. [doi]

A Capsule Network-based for identification of Glaucoma in retinal imagesPatrick Ryan Sales dos Santos, Vitória de Carvalho Brito, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo, Ricardo de Andrade Lira Rabelo, Mano Joseph Mathew. ISCC 2020: 1-6 [doi]

Lung CT Screening With 3D Convolutional Neural Network ArchitecturesThiago José Barbosa Lima, Daniela Ushizima, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo. isbi 2020: 1-4 [doi]

Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT imagesThiago José Barbosa Lima, Flávio Henrique Duarte de Araiújo, Antonio Oseas de Carvalho Filho, Ricardo de Andrade Lira Rabelo, Rodrigo de Melo Souza Veras, Mano Joseph Mathew. ISCC 2020: 1-6 [doi]

2018

Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversityEdson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass. cee, 67:210-222, 2018. [doi]

Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural networkAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. PR, 81:200-212, 2018. [doi]

Automatic methods for diagnosis of glaucoma using texture descriptors based on phylogenetic diversityAntonio Sousa Vieira de Carvalho Junior, Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass. cee, 71:102-114, 2018. [doi]

Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVMWener Borges de Sampaio, Fernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass. cmbbeiv, 6(3):315-330, 2018. [doi]

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, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass. mbec, 56(11):2125-2136, 2018. [doi]

Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucomaMarcos Vinícius dos Santos Ferreira, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass. eswa, 110:250-263, 2018. [doi]

2017

Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVMAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. vlsisp, 87(2):179-196, 2017. [doi]

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, Rodolfo Acatauassu Nunes, Marcelo Gattass. mbec, 55(8):1129-1146, 2017. [doi]

3D shape analysis to reduce false positives for lung nodule detection systemsAntonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. mbec, 55(8):1199-1213, 2017. [doi]

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, Rodolfo Acatauassu Nunes, Marcelo Gattass. jdi, 30(6):812-822, 2017. [doi]

Lung nodule classification using artificial crawlers, directional texture and support vector machineBruno Rodrigues Froz, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. eswa, 69:176-188, 2017. [doi]

2015

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, Anselmo Cardoso de Paiva, Marcelo Gattass. jdi, 28(3):323-337, 2015. [doi]

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, Anselmo Cardoso de Paiva, Marcelo Gattass. cbm, 57:42-53, 2015. [doi]

2014

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, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. artmed, 60(3):165-177, 2014. [doi]

Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVMAlex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass. eaai, 36:27-39, 2014. [doi]

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