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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
954-960

Dual-state shape reconstitution and its application in TRUS segmentation

Shi Yongtaoa,b
Gao Chaoa,b
Li Weia,b
You Yifeia,b
a. College of Computer & Information Technology, b. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang Hubei 443002, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0339

Abstract

Accurate segmentation of prostate ultrasound images in the clinic has an important impact on the subsequent diagnosis, and the currently available research findings cannot accurately segment each part. This paper proposed a bimodal shape reconstruction method based on the point distribution model and stream shape learning and segmentation of prostate ultrasound images: target initial localization by random forest indication of the hidden state expression, improvement of the boundary operator to improve the coarse segmentation accuracy, interpolation computation using some gray significant points adjacent to the noisy part of the explicit state expression to recover the shape as a whole. This segmentation method not only reduced the data computation amount, but increased the segmentation reliability. Experiments show that the DSC of the proposed method is 97.38% and the mIoU is 95.24%, and the accuracy is stronger than the current popular segmentation neural networks.

Foundation Support

国家自然科学基金资助项目(61871258)
湖北省中央引导地方科技发展专项资助项目(2019ZYYD007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0339
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Technology of Graphic & Image
Pages: 954-960
Serial Number: 1001-3695(2023)03-052-0954-07

Publish History

[2022-09-21] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

石勇涛, 高超, 李伟, 等. 双态形状重构及其在前列腺超声图像分割中的应用 [J]. 计算机应用研究, 2023, 40 (3): 954-960. (Shi Yongtao, Gao Chao, Li Wei, et al. Dual-state shape reconstitution and its application in TRUS segmentation [J]. Application Research of Computers, 2023, 40 (3): 954-960. )

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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