Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform
Published
Conference Paper
© 2018 IEEE. Diagnosis of melanoma is fraught with uncertainty, and discordance rates among physicians remain high because of the lack of a definitive criterion. Motivated by this challenge, this paper first introduces the Patch Weyl transform (PWT), a 2-dimensional variant of the Weyl transform. It then presents a method for classifying pump-probe images of melanocytic lesions based on the PWT coefficients. Performance of the PWT coefficients is shown to be superior to classification based on baseline intensity, on standard descriptors such as the Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP), and on coefficients derived from PCA and Fourier representations of the data.
Full Text
Duke Authors
Cited Authors
- Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R
Published Date
- September 10, 2018
Published In
Volume / Issue
- 2018-April /
Start / End Page
- 4209 - 4213
International Standard Serial Number (ISSN)
- 1520-6149
International Standard Book Number 13 (ISBN-13)
- 9781538646588
Digital Object Identifier (DOI)
- 10.1109/ICASSP.2018.8461298
Citation Source
- Scopus