Development and validation of an infrared-artificial intelligence software for breast cancer detection

Development and validation of an infrared-artificial intelligence software for breast cancer detection

Aim: In countries where access to mammography equipment and skilled personnel is limited, most breast cancer (BC) cases are detected in locally advanced stages. Infrared breast thermography is recognized as an adjunctive technique for the detection of BC due to its advantages such as safety (by not...

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Bibliographic Details
Main Authors: Enrique Martín-Del-Campo-Mena, Pedro A. Sánchez-Méndez, Eva Ruvalcaba-Limon, Federico M. Lazcano-Ramírez, Andrés Hernández-Santiago, Jorge A. Juárez-Aburto, Kictzia Y. Larios-Cruz, L. Enrique Hernández-Gómez, J. Andrei Merino-González, Yessica González-Mejía
Format: Article
Language:English
Published: Open Exploration Publishing Inc. 2023-04-01
Series:Exploration of Targeted Anti-tumor Therapy
Subjects:
breast cancer
infrared thermography
artificial intelligence
mammography
screening
Online Access:https://www.explorationpub.com/Journals/etat/Article/1002135

Internet

https://www.explorationpub.com/Journals/etat/Article/1002135

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