Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers.

Xue, Zhen-Zhen; Li, Cheng; Luo, Zhuo-Ming; Wang, Shan-Shan; Xu, Ying-Ying

Xue, Zhen-Zhen; Li, Cheng; Luo, Zhuo-Ming; Wang, Shan-Shan; Xu, Ying-Ying.

Afiliação

Xue ZZ; School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.
Li C; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China.
Luo ZM; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Wang SS; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Xu YY; School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.

BMC Bioinformatics ; 23(1): 470, 2022 Nov 08.

Article em En | MEDLINE | ID: mdl-36348299

Assuntos

Biomarcadores Tumorais; Neoplasias; Imuno-Histoquímica; Redes Neurais de Computação; Aprendizado de Máquina; Proteínas; Neoplasias/diagnóstico

Palavras-chave

Bioimage processing; Bioinformatics; Cancer biomarker; Machine learning; Protein expression level

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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