GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn

GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn

Burns constitute one of the most common injuries in the world, and they can be very painful for the patient. Especially in the judgment of superficial partial thickness burns and deep partial thickness burns, many inexperienced clinicians are easily confused. Therefore, in order to make burn depth c...

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Bibliographic Details
Main Authors: Zhiwei Li, Jie Huang, Xirui Tong, Chenbei Zhang, Jianyu Lu, Wei Zhang, Anping Song, Shizhao Ji
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
burn depth
deep learning
partial thickness burns
feature fusion
image classification
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023445?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023445?viewType=HTML

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