The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition.

Nozaka, Hiroyuki; Oda, Miku; Sasaki, Ami; Harako, Honoka; Miyazaki, Mae; Kaga, Suzuka; Sakaiya, Niina; Kudo, Kyouka; Kimura, Shou; Nakano, Manabu; Fujioka, Miyuki; Yamagata, Kazufumi

Nozaka, Hiroyuki; Oda, Miku; Sasaki, Ami; Harako, Honoka; Miyazaki, Mae; Kaga, Suzuka; Sakaiya, Niina; Kudo, Kyouka; Kimura, Shou; Nakano, Manabu; Fujioka, Miyuki; Yamagata, Kazufumi.

Afiliación

Nozaka H; Hirosaki university Graduate school of health sciences, Japan.
Oda M; Hirosaki university School of health sciences, Japan.
Sasaki A; Hirosaki university School of health sciences, Japan.
Harako H; Hirosaki university School of health sciences, Japan.
Miyazaki M; Hirosaki university School of health sciences, Japan.
Kaga S; Hirosaki university School of health sciences, Japan.
Sakaiya N; Hirosaki university School of health sciences, Japan.
Kudo K; Hirosaki university School of health sciences, Japan.
Kimura S; Hirosaki university School of health sciences, Japan.
Nakano M; Hirosaki university Graduate school of health sciences, Japan.
Fujioka M; Hirosaki university Graduate school of health sciences, Japan.
Yamagata K; Hirosaki university Graduate school of health sciences, Japan.

Stud Health Technol Inform ; 290: 273-277, 2022 Jun 06.

Article en En | MEDLINE | ID: mdl-35673016

Asunto(s)

Aprendizaje Profundo; Humanos; Leucocitos

Palabras clave

Artificial intelligence; Convolutional neural network; Data augmentation; Hematology; Leukocyte

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Japón

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