Application Research of Image Processing Based on Artificial Intelligence in Medical Field

Xuanchen Dong, Liyuan Xiong, Churui Zhang

2025

Abstract

This paper discusses in depth the contribution of image processing based on artificial intelligence to medicine. Medical images include ultrasound images, X-rays and magnetic resonance images. However, interpreting these images often relies on subjective judgment and professional experience, which is not only time-consuming, but also prone to human error. Therefore, image processing plays a very important role in the medical field. This paper summarizes the optimal AI solutions for ultrasonic, X-ray, and CT image processing through a large literature review. In ultrasonic image processing, deep learning technology reduces the reliance on subjective judgment and improves the accuracy of diagnosis by automatically learning image features. In X-ray image analysis, models such as u-net+Attention have been developed to detect the high risk factors for postoperative recurrence of lumbar disc herniation and improve the accuracy of image interpretation. For CT images, deep learning models are applied to improve the accuracy of diagnostic results. The paper also demonstrates the effectiveness of these AI techniques in different medical imaging applications through experimental results. The application of this technology not only improves the accuracy and efficiency of diagnosis, but also provides strong support for clinical treatment, which has important research value and broad application prospects.

Paper Citation

in Harvard Style

Dong X., Xiong L. and Zhang C. (2025). Application Research of Image Processing Based on Artificial Intelligence in Medical Field. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 271-276. DOI: 10.5220/0013686600004670

in Bibtex Style

@conference{icdse25,
author={Xuanchen Dong and Liyuan Xiong and Churui Zhang},
title={Application Research of Image Processing Based on Artificial Intelligence in Medical Field},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013686600004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Application Research of Image Processing Based on Artificial Intelligence in Medical Field
SN - 978-989-758-765-8
AU - Dong X.
AU - Xiong L.
AU - Zhang C.
PY - 2025
SP - 271
EP - 276
DO - 10.5220/0013686600004670
PB - SciTePress