Clinically Applicable Deep Learning Framework for Measuring the Extent of Hair Loss in Patients with Alopecia Areata
Published: 10 May 2020| Version 1 | DOI: 10.17632/75k76546ms.1
Contributor:
Solam LeeDescription
A companion code and data repository for the article, "Clinically Applicable Deep Learning Framework for Measuring the Extent of Hair Loss in Patients with Alopecia Areata". Along with the programs in the “/Program/” directory, a total of 2716 pixelwise annotations used to train the hair loss identifier (mask), and the hair loss identifier (target) can be find in the “/Data/” directory. However, please note that patients’ clinical photographs cannot be made publicly available because of strict privacy regulations.
Files
Institutions
Yonsei University Wonju College of Medicine
Categories
Dermatology, Alopecia Areata, Convolutional Neural Network, Deep Learning