Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1553-1558

Colorectal polyp segmentation algorithm fusion PVTv2 and multiscale boundary aggregation

Liang Liming1
He Anjun1
Dong Xin1
Li Renjie1
Sheng Xiaoqi2
1. School of Electrical Engineering & Automation, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
2. School of Computer Science & Engineering, South China University of Technology, Guangzhou 510000, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0441

Abstract

Considering the complex characteristics of low contrast, blurred boundaries, and irregular shapes in the lesion area and surrounding mucus in colorectal polyp images, most of the existing algorithms cannot achieve high-precision segmentation of colorectal polyps. In view of the above difficulties, this paper proposed a colorectal polyp segmentation algorithm combining PVTv2 and multi-scale boundary polymerization. Firstly, using PVTv2 to extract the lesion features in the intestinal polyp image layer by layer, to solve the problem that the traditional convolutional neural network has insufficient ability to extract the features of the lesion area. It constructed a multi-scale context space awareness module at the network skip connection. Then, it designed a multi-scale extrusion adaptation fusion module to aggregate the feature information of different scales to reduce the semantic difference of each scale feature. Finally, in order to further strengthen the edge detail features recognition ability, creatively constructed residual axial double boundary refinement module. The algorithm verified by a large number of experiments on the Kvasir-SEG dataset and the CVC-ClinicDB dataset, the similarity coefficients were 93.29% and 94.52%, and the average intersectional merge ratio was 88.36% and 89.88% respectively. The experimental results show that the segmentation accuracy of the proposed model has been greatly improved for the complex lesion area and the blurred lesion boundary.

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.1001-3695.2022.09.0441
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Technology of Graphic & Image
Pages: 1553-1558
Serial Number: 1001-3695(2023)05-042-1553-06

Publish History

[2022-11-09] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

梁礼明, 何安军, 董信, 等. 融合PVTv2和多尺度边界聚合的结直肠息肉分割算法 [J]. 计算机应用研究, 2023, 40 (5): 1553-1558. (Liang Liming, He Anjun, Dong Xin, et al. Colorectal polyp segmentation algorithm fusion PVTv2 and multiscale boundary aggregation [J]. Application Research of Computers, 2023, 40 (5): 1553-1558. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)