A dense connection encoding–decoding convolutional neural network structure for semantic segmentation of thymoma

•Three-channel pseudo-color images preprocessing method is designed by concatenating different CT windows.•A dense skip connection encoding–decoding model (DSC-Net) is proposed to perform automatic segmentation of thymoma base on a deep convolutional neural network.•Dense connections are introduced...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 451; pp. 1 - 11
Main Authors:	Li, Jingyuan, Sun, Wenfang, Feng, Xiulong, Xing, Gang, von Deneen, Karen M., Wang, Wen, Zhang, Yi, Cui, Guangbin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 03.09.2021
Subjects:	Computed tomography Convolutional neural network Image processing Thymoma Thymoma Computed tomography Image processing Convolutional neural network
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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