Medical image processing applications based on PCFC-MSPCNN

Nana Ren; Miao Li; Xiangyu Wei; Yuzhu Cao; Jing Lian

doi:10.1117/12.3035114

19 July 2024 Medical image processing applications based on PCFC-MSPCNN

Nana Ren, Miao Li, Xiangyu Wei, Yuzhu Cao, Jing Lian

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130U (2024) https://doi.org/10.1117/12.3035114
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

In recent years, there has been a significant amount of research into developing image segmentation methods using neural network models, due to their successful application in the visual field. In this paper, we propose a parameter-continuous fire-controlled MSPCNN (PCFC-MSPCNN) model for image segmentation, which is based on the FCMSPCNN and simplifies related feature parameters. The experimental results indicate that these improvements make the dynamic threshold adjustment of the PCFC-MSPCNN model more appropriate and can provide more accurate results.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Nana Ren, Miao Li, Xiangyu Wei, Yuzhu Cao, and Jing Lian "Medical image processing applications based on PCFC-MSPCNN", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130U (19 July 2024); https://doi.org/10.1117/12.3035114

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