1 code implementation • 6 Jul 2022 • Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek
As a start towards increasing transparency, AI researchers have appropriated the use of the Fitzpatrick skin type (FST) from a measure of patient photosensitivity to a measure for estimating skin tone in algorithmic audits of computer vision applications including facial recognition and dermatology diagnosis.
no code implementations • 15 May 2021 • Mohammadreza Mohseni, Jordan Yap, William Yolland, Arash Koochek, M Stella Atkins
We first automatically detect and extract all the lesions from a wide-field skin image, and calculate an embedding for each detected lesion in a patient image, based on automatically identified features.
2 code implementations • 20 Apr 2021 • Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
We train a deep neural network model to classify 114 skin conditions and find that the model is most accurate on skin types similar to those it was trained on.
