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...

Полное описание

Библиографические подробности
Главные авторы: Jiewei Jiang, Haiyang Liu, Lang He, Mengjie Pei, Tongtong Lin, Hailong Yang, Junhua Yang, Jiamin Gong, Xumeng Wei, Mingmin Zhu, Guohai Wu, Zhongwen Li
Формат: Статья
Язык:English
Опубликовано: BMC 2024-02-01
Серии:BioMedical Engineering OnLine
Предметы:
Object localization
YOLOv7
Eyelid tumors
Malignancy
Vision transformer
Online-ссылка:https://doi.org/10.1186/s12938-024-01221-3

Internet

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

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