Densely connected convolutional networks for ultrasound image based lesion segmentation.

Ma, Jinlian; Kong, Dexing; Wu, Fa; Bao, Lingyun; Yuan, Jing; Liu, Yusheng

Ma, Jinlian; Kong, Dexing; Wu, Fa; Bao, Lingyun; Yuan, Jing; Liu, Yusheng.

Afiliación

Ma J; School of Integrated Circuits, Shandong University, Jinan 250101, China; Shenzhen Research Institute of Shandong University, A301 Virtual University Park in South District of Shenzhen, China; State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou 31002
Kong D; School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.
Wu F; School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.
Bao L; Department of Ultrasound, Hangzhou First Peoples Hospital, Zhejiang University, Hangzhou, China.
Yuan J; School of Mathematics and Statistics, Xidian University, China.
Liu Y; State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.

Comput Biol Med ; 168: 107725, 2024 01.

Article en En | MEDLINE | ID: mdl-38006827

Asunto(s)

Procesamiento de Imagen Asistido por Computador; Redes Neurales de la Computación; Humanos; Reproducibilidad de los Resultados; Procesamiento de Imagen Asistido por Computador/métodos; Ultrasonografía/métodos; Mama

Palabras clave

Densely connected convolutional network; Nodular lesion; Pre-training; Segmentation; Ultrasound image

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Redes Neurales de la Computación Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article

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