Author(s)

ShouTong Huang 

Affiliation(s)

Electrical and Electronics Engineering Department, Ningxia University, Yinchuan 750021, Ningxia, China.

Corresponding Author

ShouTong Huang 

ABSTRACT

Medical image processing has witnessed remarkable progress in recent years, driven by the integration of advanced algorithms and artificial intelligence techniques. This review comprehensively examines the state-of-the-art methods in medical image processing, both domestically and internationally, with a focus on deep learning models and other prominent algorithms. We delve into their applications across various medical imaging modalities, analyze their strengths and limitations, and discuss future development trends, aiming to provide valuable insights for researchers and practitioners in this field. 

KEYWORDS

Algorithms; Deep learning; Image processing; Medical image segmentation

CITE THIS PAPER

ShouTong Huang. Current advanced medical image processing method—integration and innovation of deep learning models and traditional algorithms. AI and Data Science Journal. 2025, 2(2): 7-12. DOI: https://doi.org/10.61784/adsj3019. 

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