Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2490-2494

Liver segmentation of circular densely connected network based on more local information

Song Yang
Liu Zhe
School of Computer Science & Communication Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China
DOI: 10.19734/j.issn.1001-3695.2020.08.0391

Abstract

The complexity of the liver region in abdominal images and the limitations of traditional segmentation methods in feature extraction make the field of liver segmentation still have many challenges. Aiming at the shortcomings of the existing segmentation networks in the global and local information processing of the liver region, this paper proposed a segmentation method of cyclic densely connected networks that integrated more local features. This method integrated the cyclic dense connection module and the local feature supplement module into the learning unit of the coding process, so that the coding unit integrated deep-level global information and local feature information on a larger scale. Finally, after the decoding process, this method used the softmax function to output the segmentation result. On LiTS data set, the method performed well in multiple evaluation indicators, with an accuracy of 95.1%. In addition, related experiments on Data_67 dataset also proves that the method had good generalization performance. Experiments show that dense connections and more local information can make the performance of the liver segmentation model better.

Foundation Support

国家自然科学基金资助项目(61976106,61772242,61572239)
中国博士后科学基金资助项目(2017M611737)
江苏省“六大人才高峰”高层次人才项目(DZXX-122)
镇江市卫生计生科技重点项目(SHW2017019)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.08.0391
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2490-2494
Serial Number: 1001-3695(2021)08-045-2490-05

Publish History

[2021-08-05] Printed Article

Cite This Article

宋阳, 刘哲. 基于循环密集连接融合更多局部特征的肝脏分割 [J]. 计算机应用研究, 2021, 38 (8): 2490-2494. (Song Yang, Liu Zhe. Liver segmentation of circular densely connected network based on more local information [J]. Application Research of Computers, 2021, 38 (8): 2490-2494. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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