Automated estimation of cancer cell deformability with machine learning and acoustic trapping.

Lee, O-Joun; Lim, Hae Gyun; Shung, K Kirk; Kim, Jin-Taek; Kim, Hyung Ham

Lee, O-Joun; Lim, Hae Gyun; Shung, K Kirk; Kim, Jin-Taek; Kim, Hyung Ham.

Afiliação

Lee OJ; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Lim HG; Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea. hglim@pknu.ac.kr.
Shung KK; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Kim JT; Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
Kim HH; Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.

Sci Rep ; 12(1): 6891, 2022 04 27.

Article em En | MEDLINE | ID: mdl-35477742

Assuntos

Neoplasias da Mama; Aprendizado de Máquina; Acústica; Neoplasias da Mama/diagnóstico; Módulo de Elasticidade; Feminino; Humanos; Redes Neurais de Computação

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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