Maira Araujo de Santana

Maira Araujo de Santana has a Master's degree in Biomedical Engineering at the Federal University of Pernambuco (UFPE) and member of the Biomedical Computing Research Group. She holds a degree in Biomedical Engineering from the Federal University of Pernambuco (2017). She has fluency in Portuguese (native language) and English, as well as basic knowledge of Spanish and German. She completed an internship in Clinical Engineering at Hospital das Clínicas de Pernambuco (09/2016 - 01/2017). She was a Scholarship for Science for Borders Program of the Federal Government / CAPES in the United States for one year (edict 180: 08/2015 - 08/2016), of which nine months (08/2015 - 05/2016) were dedicated to She has a BA in Biomedical Engineering at the University of Alabama at Birmingham (UAB), AL (USA) and in the last three months (05/2016 - 08/2016) she worked as a researcher at the Carl E Ravin Advanced Imaging Laboratories (RAILabs) - Duke University, NC, USA - deepening specific knowledge of the area of image processing (sub-area of Biomedical Engineering) and acquiring experience in laboratory stage, scientific production, programming in MATLAB language and Office package.

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...
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...
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...