Deep Learning in Analysing Paranasal Sinuses

نویسندگان

چکیده

Deep neural network-based diagnostic tools have gained state-of-the-art performance in the medical field recent years. Diagnostic accuracy has become very critical for treatments. This paper proposes a simple and novel deep learning-based system analysis of paranasal sinuses conditions. In this work, we focus on analysing CT images automatically, providing physicians with high-accuracy diagnosis. The proposed enables one to reduce number be searched scan patient also it provides automatic segmentation marking cropping region. Thus, significantly decreases data required training phase gain computational efficiency while maintaining performance. algorithm makes automatically without manual yields outstanding detecting abnormalities sinuses. approach been tested real achieved an rate 98.52 % sensitivity 100 %.

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ژورنال

عنوان ژورنال: Elektronika Ir Elektrotechnika

سال: 2022

ISSN: ['1392-1215', '2029-5731']

DOI: https://doi.org/10.5755/j02.eie.31133