Transformers in medical image analysis

نویسندگان

چکیده

Transformers have dominated the field of natural language processing and recently made an impact in area computer vision. In medical image analysis, transformers also been successfully used to full-stack clinical applications, including synthesis/reconstruction, registration, segmentation, detection, diagnosis. This paper aims promote awareness applications analysis. Specifically, we first provide overview core concepts attention mechanism built into other basic components. Second, review various transformer architectures tailored for discuss their limitations. Within this review, investigate key challenges use different learning paradigms, improving model efficiency, coupling with techniques. We hope will a comprehensive picture readers interest

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ژورنال

عنوان ژورنال: Intelligent medicine

سال: 2023

ISSN: ['2667-1026', '2096-9376']

DOI: https://doi.org/10.1016/j.imed.2022.07.002