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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2876-2880

Skin lesion image segmentation algorithm based on multi-scale feature fusion double U-Net

Liang Liming
Peng Renjie
Feng Jun
Yin Jiang
School of Electrical Engineering & Automation, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2020.11.0432

Abstract

Aiming at the problem of different sizes and different shapes of skin lesions in skin disease segmentation, this paper proposed a double U-shaped skin disease segmentation algorithm based on multi-scale feature fusion. The algorithm consisted of two parts: coarse U-shaped network and subdivided U-shaped network. Firstly, the coarse U-shaped network encoder used the pre-trained VGG-19 model to extract multi-scale features for related features. In the decoder stage, the improved attention residual block effectively mapped and merged the low-level and high-level information to obtain a preliminary Mask. Then it aggregated the preliminary Mask with the original image, and input it into the multi-path feature extraction encoder for secondary feature distillation. The subdivided U-shaped network decoder simultaneously integrated with the feature mapping of the coarse U-shaped network encoder and the subdivided U-shaped network encoder to ensure that the network could aggregate more effective features. Finally, the Focal Tversky loss function further improved the segmentation effect. Experimental results on the ISBI 2016 dataset show that the accuracy, sensitivity, specificity, Dice coefficient and Jaccard coefficient of the proposed method are 96.11%, 93.59%, 97.10%, 93.14% and 87.17%, respectively, which can effectively segment the skin disease area.

Foundation Support

国家自然科学基金资助项目(51365017,61463018)
江西省自然科学基金面上项目(20192BAB205084)
江西省教育厅科学技术研究重点项目(GJJ170491)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0432
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Technology of Graphic & Image
Pages: 2876-2880
Serial Number: 1001-3695(2021)09-059-2876-05

Publish History

[2021-09-05] Printed Article

Cite This Article

梁礼明, 彭仁杰, 冯骏, 等. 基于多尺度特征融合双U型皮肤病变分割算法 [J]. 计算机应用研究, 2021, 38 (9): 2876-2880. (Liang Liming, Peng Renjie, Feng Jun, et al. Skin lesion image segmentation algorithm based on multi-scale feature fusion double U-Net [J]. Application Research of Computers, 2021, 38 (9): 2876-2880. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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