Mask guided attention for fetal standard plane recognition

Ruijie Li; Caili Guo; Hong Xu; Zheng Li

doi:10.1117/12.2671854

21 March 2023 Mask guided attention for fetal standard plane recognition

Ruijie Li, Caili Guo, Hong Xu, Zheng Li

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126090G (2023) https://doi.org/10.1117/12.2671854
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

At present, ultrasound is the most widely used in prenatal diagnosis. The accurate acquisition of fetal standard plane is very important in prenatal diagnosis. However, the recognition of fetal standard planes (standard versus non-standard) is a challenging task, mainly because of the need to simultaneously recognize several key anatomical structures. In this paper, we propose a novel method termed mask guided attention (MGA) to integrate global and diagnostic region cues to recognize the fetal standard plane, imitating the sonographer’s diagnostic mode. In addition, to further mine key anatomical structures, an innovative attention mining (AM) module is designed to improve the MGA. Utilizing the clinical dataset, we demonstrate that MGA significantly improve the performance of fetal standard plane recognition tasks.

Citation Download Citation

Ruijie Li, Caili Guo, Hong Xu, and Zheng Li "Mask guided attention for fetal standard plane recognition", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126090G (21 March 2023); https://doi.org/10.1117/12.2671854

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KEYWORDS

Fetus

Diagnostics

Ultrasonography

Anatomy

Mining

Image segmentation

Feature extraction

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