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...
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 |
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Формат: | Статья |
Язык: | English |
Опубликовано: |
BMC
2024-02-01
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Серии: | BioMedical Engineering OnLine |
Предметы: | |
Online-ссылка: | https://doi.org/10.1186/s12938-024-01221-3 |
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