Response predictor for pigment reduction after one session of photo-based therapy using convolutional neural network

Published: 23 September 2022| Version 1 | DOI: 10.17632/4gs3ks89mr.1
Contributor:
Ting-Ting Yang

Description

This dataset contains the treatment response after each photo-based treatment session for facial hyperpigmentation. We trained a convolutional neural network (CNN) based on these results and showed that there exist discernible features in pretreatment photographs for identifying favorable responders after photo-based treatments for facial hyperpigmentation.

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Institutions

Kaohsiung Medical University, National Chiao Tung University

Categories

Artificial Intelligence, Dermatology

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