Classification of Skin Lesion Images Using Artificial Intelligence Methodologies through Radial Fourier–Mellin and Hilbert Transform Signatures
This manuscript proposes the possibility of concatenated signatures (instead of images) obtained from different integral transforms, such as Fourier, Mellin, and Hilbert, to classify skin lesions. Eight lesions were analyzed using some algorithms of artificial intelligence: basal cell carcinoma (BCC...
Main Authors: | Esperanza Guerra-Rosas, Luis Felipe López-Ávila, Esbanyely Garza-Flores, Claudia Andrea Vidales-Basurto, Josué Álvarez-Borrego |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/20/11425 |
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