Histopathological diagnosis of colon cancer using micro-FTIR hyperspectral imaging and deep learning.

Muniz, Frederico Barbosa; Baffa, Matheus de Freitas Oliveira; Garcia, Sergio Britto; Bachmann, Luciano; Felipe, Joaquim Cezar

Muniz, Frederico Barbosa; Baffa, Matheus de Freitas Oliveira; Garcia, Sergio Britto; Bachmann, Luciano; Felipe, Joaquim Cezar.

Afiliación

Muniz FB; Department of Computing and Mathematics, University of São Paulo, Bandeirantes Av. 3900, Monte Alegre, Ribeirão Preto, SP 14040-901, Brazil.
Baffa MFO; Department of Computing and Mathematics, University of São Paulo, Bandeirantes Av. 3900, Monte Alegre, Ribeirão Preto, SP 14040-901, Brazil.
Garcia SB; Department of Pathology and Legal Medicine, Medical School of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil.
Bachmann L; Department of Physics, University of São Paulo, Ribeirão Preto, SP, Brazil.
Felipe JC; Department of Computing and Mathematics, University of São Paulo, Bandeirantes Av. 3900, Monte Alegre, Ribeirão Preto, SP 14040-901, Brazil. Electronic address: jfelipe@ffclrp.usp.br.

Comput Methods Programs Biomed ; 231: 107388, 2023 Apr.

Article en En | MEDLINE | ID: mdl-36773592

Asunto(s)

Neoplasias del Colon; Aprendizaje Profundo; Humanos; Imágenes Hiperespectrales; Espectroscopía Infrarroja por Transformada de Fourier; Redes Neurales de la Computación

Palabras clave

Colon cancer; Computer-aided diagnosis; Deep learning; Micro-FTIR spectroscopy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Colon / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Brasil

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