Wellington Pinheiro dos Santos

Wellington Pinheiro dos Santos received a bachelor's degree in Electrical Electronics Engineering (2001) and MSc in Electrical Engineering (2003) from the Federal University of Pernambuco, and Ph.D. in Electrical Engineering from the Federal University of Campina Grande (2009). He is currently a Professor of the Department of Biomedical Engineering at the Federal University of Pernambuco, acting in Undergraduate and Graduate Programs in Biomedical Engineering. He is a member of the Graduate Program in Computer Engineering from the Polytechnic School of Pernambuco, University of Pernambuco, since 2009. He has experience in the area of Computer Science, acting on the following themes: digital image processing, pattern recognition, computer vision, evolutionary computation, numerical methods of optimization, computational intelligence, computer graphics, virtual reality, game design and applications of Computing and Engineering in Medicine and Biology. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), the Brazilian Society of Computational Intelligence, and the International Federation of Medical and Biological Engineering (IFMBE).

Publications

Classification of Breast Lesions in Frontal Thermographic Images Using a Diagnosis Aid Intelligent System
Classification of Breast Lesions in Frontal Thermographic Images Using a Diagnosis Aid Intelligent System
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2023. 20 pages.
This study aims to assess the breast lesions classification in thermographic images using different configuration of an Extreme Learning Machine network as classifier. In this...
Feature Selection Based on Dialectical Optimization Algorithm for Breast Lesion Classification in Thermographic Images
Feature Selection Based on Dialectical Optimization Algorithm for Breast Lesion Classification in Thermographic Images
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos. © 2023. 24 pages.
Breast cancer is the leading cause of death among women worldwide. Early detection and early treatment are critical to minimize the effects of this disease. In this sense, breast...
Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
Maira Araujo de Santana, Jessiane Mônica Silva Pereira, Washington Wagner Azevedo da Silva, Wellington Pinheiro dos Santos. © 2023. 14 pages.
In this chapter, the authors used autoencoder in data preprocessing step in an attempt to improve image representation, consequently increasing classification performance. The...
Features Selection Study for Breast Cancer Diagnosis Using Thermographic Images, Genetic Algorithms, and Particle Swarm Optimization
Features Selection Study for Breast Cancer Diagnosis Using Thermographic Images, Genetic Algorithms, and Particle Swarm Optimization
Amanda Lays Rodrigues da Silva, Maíra Araújo de Santana, Clarisse Lins de Lima, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Maria Beatriz Jacinto de Almeida, Washington Wagner Azevedo da Silva, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2023. 21 pages.
Early detection of breast cancer is critical to improve treatment efficiency and chance of cure. Mammography is the main method for breast cancer screening; however, it has some...
Biomedical Computing for Breast Cancer Detection and Diagnosis
Biomedical Computing for Breast Cancer Detection and Diagnosis
Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, Maira Araujo de Santana. © 2021. 357 pages.
Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient...
Prototype of a Low-Cost Impedance Tomography Based on the Open-Hardware Paradigm
Prototype of a Low-Cost Impedance Tomography Based on the Open-Hardware Paradigm
David Edson Ribeiro, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 15 pages.
Electrical Impedance Tomography (EIT) is a noninvasive, painless, and ionizing radiation-free technique for image acquisition of a region of interest. It is performed through...
Using Extreme Learning Machines and the Backprojection Algorithm as an Alternative to Reconstruct Electrical Impedance Tomography Images
Using Extreme Learning Machines and the Backprojection Algorithm as an Alternative to Reconstruct Electrical Impedance Tomography Images
Juliana Carneiro Gomes, Maíra Araújo de Santana, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 12 pages.
Electrical Impedance Tomography (EIT) is an imaging technique based on the excitation of electrode pairs applied to the surface of the imaged region. The electrical potentials...
Classification of Breast Lesions in Frontal Thermographic Images Using a Diagnosis Aid Intelligent System
Classification of Breast Lesions in Frontal Thermographic Images Using a Diagnosis Aid Intelligent System
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2021. 19 pages.
This study aims to assess the breast lesions classification in thermographic images using different configuration of an Extreme Learning Machine network as classifier. In this...
Feature Selection Based on Dialectical Optimization Algorithm for Breast Lesion Classification in Thermographic Images
Feature Selection Based on Dialectical Optimization Algorithm for Breast Lesion Classification in Thermographic Images
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos. © 2021. 25 pages.
Breast cancer is the leading cause of death among women worldwide. Early detection and early treatment are critical to minimize the effects of this disease. In this sense, breast...
Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
Maira Araujo de Santana, Jessiane Mônica Silva Pereira, Washington Wagner Azevedo da Silva, Wellington Pinheiro dos Santos. © 2021. 16 pages.
In this chapter, the authors used autoencoder in data preprocessing step in an attempt to improve image representation, consequently increasing classification performance. The...
Reconstruction of EIT Images Using Fish School Search and Non-Blind Search
Reconstruction of EIT Images Using Fish School Search and Non-Blind Search
Valter Augusto de Freitas Barbosa, David Edson Ribeiro, Clarisse Lins de Lima, Maíra Araújo de Santana, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 15 pages.
Breast cancer is the most common type of cancer among women, affecting 2.1 million women per year worldwide. The best strategy for decreasing disease morbidity and mortality is...
Features Selection Study for Breast Cancer Diagnosis Using Thermographic Images, Genetic Algorithms, and Particle Swarm Optimization
Features Selection Study for Breast Cancer Diagnosis Using Thermographic Images, Genetic Algorithms, and Particle Swarm Optimization
Amanda Lays Rodrigues da Silva, Maíra Araújo de Santana, Clarisse Lins de Lima, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Maria Beatriz Jacinto de Almeida, Washington Wagner Azevedo da Silva, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2021. 18 pages.
Early detection of breast cancer is critical to improve treatment efficiency and chance of cure. Mammography is the main method for breast cancer screening; however, it has some...
Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution
Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution
Valter Augusto de Freitas Barbosa, Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Reiga Ramalho Ribeiro, Allan Rivalles Souza Feitosa, Victor Luiz Bezerra Araújo da Silva, David Edson Ribeiro, Rafaela Covello Freitas, Manoela Paschoal, Natália Souza Soares, Rodrigo Beltrão Valença, Rodrigo Luiz Tomio Ogava, Ítalo José do Nascimento Silva Araújo Dias. © 2018. 38 pages.
Electrical impedance tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation with application both in environmental sciences and in health. Image...