Abstract
Breslow tumor thickness is a major prognostic factor for melanoma. As it is based on histopathological evaluation, it is not available to aid clinical decision making at the time of the melanoma diagnosis. In this work, we assessed the efficacy of multispectral imaging (MSI) to predict Breslow tumor thickness and developed a melanoma classification algorithm to determine the optimal surgical safety margins. First, we excluded nevi from the analysis with the use of a novel quantitative parameter.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
