Flávio H. D. Araújo

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 26

Top Topics

Histopathological Images

Cancer Diagnosis

Pulmonary Nodules

Top Venues

Biomed. Signal Process. Control.

Multim. Tools Appl.

J. Vis. Commun. Image Represent.

Publications

Daniel S. Luz, Tomaz Bisneto, Thiago José Barbosa Lima, Mano Joseph Mathew, Flávio H. D. Araújo
Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (5) (2023)
Thiago José Barbosa Lima, Daniel S. Luz, Antonio Oseas, Rodrigo Veras, Flávio H. D. Araújo
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features. Multim. Tools Appl. 82 (27) (2023)
Daniel S. Luz, Thiago J. B. Lima, Romuere R. V. Silva, Deborah Maria Vieira Magalhães, Flávio H. D. Araújo
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment. Biomed. Signal Process. Control. 75 (2022)
Luis H. S. Vogado, Flávio H. D. Araújo, Pedro de A. Santos Neto, João Almeida, João Manuel R. S. Tavares, Rodrigo Veras
A ensemble methodology for automatic classification of chest X-rays using deep learning. Comput. Biol. Medicine 145 (2022)
Luis H. S. Vogado, Pablo Vieira, Pedro Santos Neto, Lucas A. Lopes, Gleison de Andrade e Silva Silva, Flávio H. D. Araújo, Rodrigo Veras
Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network. SAC (2021)
Edson Damasceno Carvalho, Romuere R. V. Silva, Flávio H. D. Araújo, Ricardo de A. L. Rabelo, Antônio Oséas de Carvalho Filho
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. Comput. Biol. Medicine 136 (2021)
Justino Santos, Rodrigo de Melo Souza Veras, Romuere R. V. Silva, Nayze Aldeman, Flávio H. D. Araújo, Angelo A. Duarte, João Manuel R. S. Tavares
A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. Biomed. Signal Process. Control. 70 (2021)
Luis H. S. Vogado, Rodrigo Veras, Kelson Rômulo Teixeira Aires, Flávio H. D. Araújo, Romuere R. V. Silva, Moacir Ponti, João Manuel R. S. Tavares
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. Sensors 21 (9) (2021)
Helio R. V. de Couto Junior, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Romuere R. V. e Silva
Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images. HealthCom (2020)
Patrick Ryan Sales dos Santos, Lucas B. M. de Souza, Samuel P. B. D. Lélis, Hector B. Ribeiro, Fábbio Anderson Silva Borges, Romuere R. V. Silva, Antonio Oseas Carvalho Filho, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues
Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. HealthCom (2020)
Acucena R. S. Soares, Thiago J. B. Lima, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Flávio H. D. Araújo
Automatic Segmentation of Lung Nodules in CT Images Using Deep Learning. HealthCom (2020)
Edson 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
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105 (2020)
Daniel S. Luz, Renesio J. O. Costa, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Flávio H. D. Araújo
Automatic Identification of Metastasis in Histopathological Images Using Deep Learning. HealthCom (2020)
Leonardo Pereira Sousa, Rodrigo M. S. Veras, Luis H. S. Vogado, Laurindo S. Britto Neto, Romuere R. V. Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros
Banknote Identification Methodology for Visually Impaired People. IWSSIP (2020)
Maíla de Lima Claro, Rodrigo Veras, André M. Santana, Flávio H. D. Araújo, Romuere R. V. e Silva, João Almeida, Daniel Leite
An hybrid feature space from texture information and transfer learning for glaucoma classification. J. Vis. Commun. Image Represent. 64 (2019)
Alan R. Andrade, Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros
Recent computational methods for white blood cell nuclei segmentation: A comparative study. Comput. Methods Programs Biomed. 173 (2019)
Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Daniela Mayumi Ushizima, Mariana T. Rezende, Cláudia M. Carneiro, Andrea Gomes Campos Bianchi, Fátima N. S. de Medeiros
Deep learning for cell image segmentation and ranking. Comput. Medical Imaging Graph. 72 (2019)
Allan C. Carneiro, José G. F. Lopes, Marcelo M. S. Souza, Jeová F. S. Rocha Neto, Flávio H. D. Araújo, Romuere R. V. e Silva, Fátima N. S. de Medeiros, Francisco Nivando Bezerra
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets. Pattern Recognit. Lett. 125 (2019)
Romuere R. V. e Silva, Flávio H. D. Araújo, Daniela Mayumi Ushizima, Andrea G. C. Bianchi, Cláudia M. Carneiro, Fátima N. S. de Medeiros
Radial feature descriptors for cell classification and recommendation. J. Vis. Commun. Image Represent. 62 (2019)
Nayara Holanda de Moura, Rodrigo de Melo Souza Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro
ABCD rule and pre-trained CNNs for melanoma diagnosis. Multim. Tools Appl. 78 (6) (2019)
Nayara Holanda de Moura, Rodrigo M. S. Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. ISCC (2018)
Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Fátima N. S. de Medeiros, Dilworth Parkinson, Alexander Hexemer, Cláudia M. Carneiro, Daniela Mayumi Ushizima Sabino
Reverse image search for scientific data within and beyond the visible spectrum. Expert Syst. Appl. 109 (2018)
Luis H. S. Vogado, Rodrigo M. S. Veras, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Eng. Appl. Artif. Intell. 72 (2018)
Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian
Convolutional neural networks at the interface of physical and digital data. AIPR (2016)
Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Alan R. Andrade, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. ISM (2016)
Flávio H. D. Araújo, André M. Santana, Pedro de A. Santos Neto
Using machine learning to support healthcare professionals in making preauthorisation decisions. Int. J. Medical Informatics 94 (2016)
Rodrigo M. S. Veras, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. BRACIS (2015)
Malla Claro, Leonardo Santos, Wallinson Silva, Flávio H. D. Araújo, Alcilene Dalília de Sousa, André Santana
Automatic Detection of Glaucoma Using Disc Optic Segmentation and Feature Extraction. CLEI (2015)
Flávio H. D. Araújo, Lailson B. Moraes, André M. Santana, Pedro de A. Santos Neto, Paulo J. L. Adeodato, Erico Leão
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company. CBMS (2013)