HarDNet and Dual-Code Attention Mechanism based model for medical images segmentation

During the formation of medical images, they are easily disturbed by factors such as acquisition devices and tissue backgrounds, causing problems such as blurred image backgrounds and difficulty in differentiation. In this paper, we combine the HarDNet module and the multi-coding attention mechanism...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Shen, Tongping, Huang, Fangliang, Xu, Huanqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attention module Biomedical imaging Coding Convolutional neural networks Data mining Decoding deep learning Entropy (Information theory) Feature extraction Image acquisition Image segmentation Medical diagnostic imaging medical images Medical imaging Modules Performance indices segmentation
Online-Zugang:	Volltext
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