Few-shot learning with deformable convolution for multiscale lesion detection in mammography.

Li, Ce; Zhang, Dong; Tian, Zhiqiang; Du, Shaoyi; Qu, Yanyun

Li, Ce; Zhang, Dong; Tian, Zhiqiang; Du, Shaoyi; Qu, Yanyun.

Afiliação

Li C; College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Zhang D; College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Tian Z; School of Software Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Du S; Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China.
Qu Y; School of Informatics, Department of Computer Science, Xiamen University, Xiamen, 361005, China.

Med Phys ; 47(7): 2970-2985, 2020 Jul.

Article em En | MEDLINE | ID: mdl-32160321

Assuntos

Neoplasias da Mama; Mamografia; Mama/diagnóstico por imagem; Neoplasias da Mama/diagnóstico por imagem; Detecção Precoce de Câncer; Humanos

Palavras-chave

attention factor; deformable convolution; few-shot learning; lesion detection; multiscale feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Mamografia Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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