Advancing ultrasound image segmentation with a hybrid framework: integrating convolutional neural networks and active contours

Fu Tao; Zhou Jie

doi:10.1117/12.3006218

10 October 2023 Advancing ultrasound image segmentation with a hybrid framework: integrating convolutional neural networks and active contours

Fu Tao, Zhou Jie

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279950 (2023) https://doi.org/10.1117/12.3006218
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Ultrasound image segmentation is a critical task in computer vision and medical image analysis. Accurate segmentation of key objects in ultrasound images is essential for clinical diagnosis. In this paper, we propose a novel hybrid method that combines convolutional neural networks and active contours for ultrasound image segmentation. The proposed method aims to enhance the accuracy and robustness of ultrasound image segmentation. The CNN model extracts features from the ultrasound images, while the active contour model refines segmentation boundaries. We evaluate the proposed method on a publicly available dataset of thyroid ultrasound images and demonstrate its superior performance compared to stateof-the-art methods. Our results show that the proposed method achieves an average Dice Similarity Coefficient of 0.91, which is significantly better than the 0.87 DSC achieved by the U-Net method. The proposed method can provide more accurate and robust segmentation of key objects in ultrasound images, which can facilitate clinical diagnosis and treatment planning.

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

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Fu Tao and Zhou Jie "Advancing ultrasound image segmentation with a hybrid framework: integrating convolutional neural networks and active contours", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279950 (10 October 2023); https://doi.org/10.1117/12.3006218

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KEYWORDS

Image segmentation

Ultrasonography

Contour modeling

Thyroid

Convolutional neural networks

Education and training

Feature extraction

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