NeDSeM: Neutrosophy Domain-Based Segmentation Method for Malignant Melanoma Images.

Bian, Xiaofei; Pan, Haiwei; Zhang, Kejia; Chen, Chunling; Liu, Peng; Shi, Kun

Bian, Xiaofei; Pan, Haiwei; Zhang, Kejia; Chen, Chunling; Liu, Peng; Shi, Kun.

Afiliación

Bian X; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Pan H; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Zhang K; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Chen C; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Liu P; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Shi K; Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.

Entropy (Basel) ; 24(6)2022 Jun 02.

Article en En | MEDLINE | ID: mdl-35741504

Palabras clave

HGMM; image segmentation; malignant melanoma image; morphology; neutrosophic entropy; neutrosophic set

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Entropy (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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