Performance improvement in multi-label thoracic abnormality classification of chest X-rays with noisy labels.

Yang, Mingyan; Tanaka, Hisashi; Ishida, Takayuki

Yang, Mingyan; Tanaka, Hisashi; Ishida, Takayuki.

Afiliação

Yang M; Division of Health Sciences, Graduate School of Medicine, Osaka University, 1-7 yamadaoka, suita, Osaka, 565-0871, Japan.
Tanaka H; Division of Health Sciences, Osaka University, 1-7 yamadaoka, suita, Osaka, 565-0871, Japan.
Ishida T; Division of Health Sciences, Osaka University, 1-7 yamadaoka, suita, Osaka, 565-0871, Japan. tishida@sahs.med.osaka-u.ac.jp.

Int J Comput Assist Radiol Surg ; 18(1): 181-189, 2023 Jan.

Article em En | MEDLINE | ID: mdl-35616775

Assuntos

Radiografia Torácica; Radiologistas; Humanos; Radiografia Torácica/métodos; Raios X; Radiografia; Curva ROC

Palavras-chave

Chest X-ray; Ensemble learning; Multi-label classification; Noise measurement; Public dataset

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiografia Torácica / Radiologistas Limite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Ano de publicação: 2023 Tipo de documento: Article

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