DBG-Net: A Double-Branch Boundary Guidance Network for Polyp Segmentation

High-precision segmentation of polyps is crucial for timely screening and postoperative management of polyps. Although convolutional neural network (CNN)-based methods have made some progress in polyp segmentation research, they still face several bottlenecks in complex pathological environments: 1)...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024, Vol.73, p.1-17
Hauptverfasser:	Zhai, Chenxu, Yang, Lei, Liu, Yanhong, Bian, Guibin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Boundary guidance Convolutional neural networks Decoding dual-path encoding Feature extraction Image edge detection Image segmentation integration mechanism Lesions Medical diagnostic imaging multiattention mechanism Pathology polyp segmentation Transformers
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