Zobrazeno 1 - 3
of 3
pro vyhledávání: '"José Filipe Silva de Andrade"'
Autor:
Washington Wagner Azevedo da Silva, Rita de Cássia Fernandes de Lima, Amanda Lays Rodrigues da Silva, Clarisse Lins de Lima, Maíra Araújo de Santana, Maria Beatriz Jacinto de Almeida, Wellington Pinheiro dos Santos, Thifany Ketuli Silva de Souza, José Filipe Silva de Andrade
Publikováno v:
International Journal of Artificial Intelligence and Machine Learning. 11:1-18
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 limitations. Infrared thermography is a technique that is being studied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56caba754de4610edceb3d2cbd544dfa
https://doi.org/10.4018/ijaiml.20210701.oa1
https://doi.org/10.4018/ijaiml.20210701.oa1
Autor:
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
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 limitations. Infrared thermography is a technique that is being studied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::299f19f219427872ebf3ea78f97a10ee
https://doi.org/10.4018/978-1-6684-7136-4.ch043
https://doi.org/10.4018/978-1-6684-7136-4.ch043
Autor:
José Filipe Silva de Andrade, Wellington Pinheiro dos Santos, Thifany Ketuli Silva de Souza, Maíra Araújo de Santana, Rita de Cássia Fernandes de Lima, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida
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 approach, the authors changed the number of neurons in the hidden layer an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4edd22c370cb70aae20a7ba860ec8865
https://doi.org/10.4018/978-1-6684-7136-4.ch004
https://doi.org/10.4018/978-1-6684-7136-4.ch004