Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion

In clinical practice, automatic polyp segmentation from colonoscopy images is an effective assistant manner in the early detection and prevention of colorectal cancer. This paper proposed a new deep model for accurate polyp segmentation based on an encoder-decoder framework. ResNet50 is adopted as t...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Huang, Xiaodong [verfasserIn]

Zhuo, Li

Zhang, Hui

Yang, Yang

Li, Xiaoguang

Zhang, Jing

Wei, Wei

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022transfer abstract

Schlagwörter:

Hybrid channel-spatial attention

Feature fusion

Polyp segmentation

Global context-aware pyramid feature extraction

Übergeordnetes Werk:

Enthalten in: Synthesis of terraced and spherical MgO nanoparticles using flame metal combustion - Chae, Sukbyung ELSEVIER, 2017transfer abstract, the international journal on imaging and image-archiving in all medical specialties : the official journal of the Computerized Medical Image Society, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:98 ; year:2022 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.compmedimag.2022.102072

Katalog-ID:

ELV057799636

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