HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images

HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images

Abstract Background The accurate detection of eyelid tumors is essential for effective treatment, but it can be challenging due to small and unevenly distributed lesions surrounded by irrelevant noise. Moreover, early symptoms of eyelid tumors are atypical, and some categories of eyelid tumors exhib...

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Bibliographic Details
Main Authors: Jiewei Jiang, Haiyang Liu, Lang He, Mengjie Pei, Tongtong Lin, Hailong Yang, Junhua Yang, Jiamin Gong, Xumeng Wei, Mingmin Zhu, Guohai Wu, Zhongwen Li
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BioMedical Engineering OnLine
Subjects:
Object localization
YOLOv7
Eyelid tumors
Malignancy
Vision transformer
Online Access:https://doi.org/10.1186/s12938-024-01221-3

Internet

https://doi.org/10.1186/s12938-024-01221-3

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