Fitzpatrick Skin Type, Individual Typology Angle, and Melanin Index in an African Population: Steps Toward Universally Applicable Skin Photosensitivity Assessments.

By Marcus Wilkes, C. Wright, J. D. du Plessis, A. Reeder. 2015

96 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Cell Biology, Dermatology, Medical & Health AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Jungseock Joo
2. Kimmo Kärkkäinen

In Cell Biology

1. Jungseock Joo
2. Kimmo Kärkkäinen

In Dermatology

1. Jungseock Joo
2. Kimmo Kärkkäinen

In Medical & Health AI

1. Omar Badri
2. Felix Lau
3. Matthew Groh
4. Jungseock Joo
5. Caleb Harris
6. Rachel Han
7. Luis R. Soenksen
8. Aerin Kim

Citations in the corpus

• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation (2021, methodology): “Figure 3 shows the distributions of the skin color of multiple race groups, measured by Individual Typology Angle (ITA) [64].”
• Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset (2021, methodology): “ITA is promising because it can be computed directly from images, but its performance varies with lighting conditions and may not always be effective for accurately annotating clinical images with skin types [55, 33, 31].”