Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models.

Yin, Tang-Kai; Huang, Kai-Lun; Chiu, Si-Rong; Yang, Yu-Qi; Chang, Bao-Rong

Yin, Tang-Kai; Huang, Kai-Lun; Chiu, Si-Rong; Yang, Yu-Qi; Chang, Bao-Rong.

Afiliación

Yin TK; Department of Computer Science and Information Engineering, National University of Kaohsiung, No. 700, Kaohsiung University Rd., Nan-Tzu Dist., 811, Kaohsiung, Taiwan. tkyin@nuk.edu.tw.
Huang KL; Department of Computer Science and Information Engineering, National University of Kaohsiung, No. 700, Kaohsiung University Rd., Nan-Tzu Dist., 811, Kaohsiung, Taiwan.
Chiu SR; Department of Computer Science and Information Engineering, National University of Kaohsiung, No. 700, Kaohsiung University Rd., Nan-Tzu Dist., 811, Kaohsiung, Taiwan.
Yang YQ; Department of Computer Science and Information Engineering, National University of Kaohsiung, No. 700, Kaohsiung University Rd., Nan-Tzu Dist., 811, Kaohsiung, Taiwan.
Chang BR; Department of Computer Science and Information Engineering, National University of Kaohsiung, No. 700, Kaohsiung University Rd., Nan-Tzu Dist., 811, Kaohsiung, Taiwan.

J Digit Imaging ; 35(5): 1101-1110, 2022 Oct.

Article en En | MEDLINE | ID: mdl-35478060

Asunto(s)

Artefactos; Redes Neurales de la Computación; Humanos; Endoscopía; Aprendizaje Automático

Palabras clave

EfficientDet; Endoscopy artefact detection; Faster R-CNN; Transfer learning

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Artefactos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

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