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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Podrobná bibliografie
Hlavní autoři: Jiewei Jiang, Haiyang Liu, Lang He, Mengjie Pei, Tongtong Lin, Hailong Yang, Junhua Yang, Jiamin Gong, Xumeng Wei, Mingmin Zhu, Guohai Wu, Zhongwen Li
Médium: Článek
Jazyk:English
Vydáno: BMC 2024-02-01
Edice:BioMedical Engineering OnLine
Témata:
Object localization
YOLOv7
Eyelid tumors
Malignancy
Vision transformer
On-line přístup:https://doi.org/10.1186/s12938-024-01221-3

Internet

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

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