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...
| Κύριοι συγγραφείς: | , , , , , , , , , , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
BMC
2024-02-01
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| Σειρά: | BioMedical Engineering OnLine |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1186/s12938-024-01221-3 |