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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...
Autores principales: | Martín-Del-Campo-Mena, Enrique, Sánchez-Méndez, Pedro A., Ruvalcaba-Limon, Eva, Lazcano-Ramírez, Federico M., Hernández-Santiago, Andrés, Juárez-Aburto, Jorge A., Larios-Cruz, Kictzia Y., Hernández-Gómez, L. Enrique, Merino-González, J. Andrei, González-Mejía, Yessica |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Open Exploration
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189354/ https://www.ncbi.nlm.nih.gov/pubmed/37206999 http://dx.doi.org/10.37349/etat.2023.00135 |
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