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DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network

Abstract Polyp segmentation is crucial in computer-aided diagnosis but remains challenging due to the complexity of medical images and anatomical variations. Current state-of-the-art methods struggle with accurate polyp segmentation due to the variability in size, shape, and texture. These factors m...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Zenan Wang, Tianshu Li, Ming Liu, Jue Jiang, Xinjuan Liu
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-04-01
Schriftenreihe:BMC Medical Imaging
Schlagworte:
Transformer
Deformable attention
Colorectal Polyp
polyp segmentation
Deep learning
Online-Zugang:https://doi.org/10.1186/s12880-025-01661-w
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