Automated cervical cell segmentation using deep ensemble learning.

Ji, Jie; Zhang, Weifeng; Dong, Yuejiao; Lin, Ruilin; Geng, Yiqun; Hong, Liangli

Ji, Jie; Zhang, Weifeng; Dong, Yuejiao; Lin, Ruilin; Geng, Yiqun; Hong, Liangli.

Afiliación

Ji J; Network & Information Center, Shantou University, Shantou, 515041, Guangdong, China.
Zhang W; Guangdong Provincial International Collaborative Center of Molecular Medicine, Laboratory of Molecular Pathology, Shantou University Medical College, Shantou, 515041, China.
Dong Y; Department of Pathology, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China.
Lin R; Department of Pathology, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China.
Geng Y; Guangdong Provincial International Collaborative Center of Molecular Medicine, Laboratory of Molecular Pathology, Shantou University Medical College, Shantou, 515041, China. yqgeng@stu.edu.cn.
Hong L; Department of Pathology, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China. hong_liangli@163.com.

BMC Med Imaging ; 23(1): 137, 2023 09 21.

Article en En | MEDLINE | ID: mdl-37735354

Asunto(s)

Neoplasias del Cuello Uterino; Humanos; Femenino; Neoplasias del Cuello Uterino/diagnóstico por imagen; Algoritmos; Cuello; Aprendizaje Automático

Palabras clave

Cervical cell segmentation; Cervical cytology screening; Deep ensemble learning; U-Net; U-Net + +

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino Límite: Female / Humans Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: China

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