A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers.

Zhao, Peng; Li, Chen; Rahaman, Md Mamunur; Xu, Hao; Yang, Hechen; Sun, Hongzan; Jiang, Tao; Grzegorzek, Marcin

Zhao, Peng; Li, Chen; Rahaman, Md Mamunur; Xu, Hao; Yang, Hechen; Sun, Hongzan; Jiang, Tao; Grzegorzek, Marcin.

Afiliación

Zhao P; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Li C; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Rahaman MM; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Xu H; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Yang H; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Sun H; Shengjing Hospital, China Medical University, Shenyang, China.
Jiang T; School of Control Engineering, Chengdu University of Information Technology, Chengdu, China.
Grzegorzek M; Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.

Front Microbiol ; 13: 792166, 2022.

Article en En | MEDLINE | ID: mdl-35308350

Palabras clave

convolutional neural network; deep learning; environmental microorganism; image classification; small dataset; visual transformer

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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