Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging

In recent years, deep learning has dominated medical image segmentation. Encoder-decoder architectures, such as U-Net, can be used in state-of-the-art models with powerful designs that are achieved by implementing skip connections that propagate local information from an encoder path to a decoder pa...

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Библиографические подробности

Главные авторы:	Trinh Le Ba Khanh, Duy-Phuong Dao, Ngoc-Huynh Ho, Hyung-Jeong Yang, Eu-Tteum Baek, Gueesang Lee, Soo-Hyung Kim, Seok Bong Yoo
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2020-08-01
Серии:	Applied Sciences
Предметы:	medical image segmentation semantic segmentation U-Net attention gates
Online-ссылка:	https://www.mdpi.com/2076-3417/10/17/5729
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