Research on medical image segmentation algorithm based on deep learning

Xiaoyan Li; Chen Xu; Mingyang Yuan; Chao Zhang; Yalin Song

doi:10.1117/12.2636509

6 May 2022 Research on medical image segmentation algorithm based on deep learning

Xiaoyan Li, Chen Xu, Mingyang Yuan, Chao Zhang, Yalin Song

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121760P (2022) https://doi.org/10.1117/12.2636509
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

For the diagnosis of cancer and tumors, medical pathological image analysis is critical. Whereas, due to the diversity and complexity of pathological data, the segmentation task is faced with challenges such as blurred edges, less training data, difficulty in feature extraction and case segmentation. The advancement of deep learning technologies has resulted in breakthrough achievements in medical image analysis by its powerful feature learning, flexible design, and other characteristics, and it has widely applied. In recent years, many scholars have improved the classic segmentation method. By combining various segmentation methods, segmentation efficiency has effectively improved, and the improved algorithm makes up for the defects of the original segmentation method. In this review, we evaluated and examined the recent research accomplishments in medical picture segmentation using various deep learning approaches, as well as the future research directions for medical image segmentation using deep learning.

Citation Download Citation

Xiaoyan Li, Chen Xu, Mingyang Yuan, Chao Zhang, and Yalin Song "Research on medical image segmentation algorithm based on deep learning", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121760P (6 May 2022); https://doi.org/10.1117/12.2636509

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KEYWORDS

Image segmentation

Medical imaging

Tumors

Image processing algorithms and systems

Medical research

Surface plasmons

Image processing

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