Intelligent diagnosis of vascular diseases with deep learning

Jiahao Wu; Qiang He

doi:10.1117/12.3005866

10 October 2023 Intelligent diagnosis of vascular diseases with deep learning

Jiahao Wu, Qiang He

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127991W (2023) https://doi.org/10.1117/12.3005866
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Infantile hemangioma (IH) and venous malformation (VM) are common vascular diseases in childhood, and they both affect the growth and development of infants and children. Because of the complexity of IH and VM ultrasound images and/or insufficient clinical experience, they are often misdiagnosed, and then patients cannot get good treatment. To solve this problem, this paper develops an intelligent diagnosis system for vascular diseases based on deep learning. The deep learning networks have been trained for each vascular disease with numerous ultrasound image data. The special model for each category of vascular disease is then set up and can be applied to recognize IH and VM on input ultrasound image data. The development and application of this system can both reduce the workload to clinicians and improve the accuracy of diagnosis.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiahao Wu and Qiang He "Intelligent diagnosis of vascular diseases with deep learning", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127991W (10 October 2023); https://doi.org/10.1117/12.3005866

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