Performance of Artificial Intelligence Imaging Models in Detecting Dermatological Manifestations in Higher Fitzpatrick Skin Color Classifications
BackgroundThe performance of deep-learning image recognition models is below par when applied to images with Fitzpatrick classification skin types 4 and 5. ObjectiveThe objective of this research was to assess whether image recognition models perform differently when differentiating between dermatol...
Saved in:
Main Author: | Pushkar Aggarwal (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-10-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dermatological diseases in immigrants with Fitzpatrick skin types 5-6 evaluated in a tertiary health center
by: Elif Afacan Yıldırım, et al.
Published: (2022) -
Bullous striae distensae on Fitzpatrick scale V skin
by: Laeshelle Basanoo, BSc, MBBS, et al.
Published: (2023) -
Analyzing Fitzpatrick skin type distribution of vitiligo on Instagram
by: Britney T. Nguyen, BS, et al.
Published: (2024) -
Medical Images Classification Using Artificial Intelligence
by: Tasneem Mustafa, et al.
Published: (2022) -
Epidermodysplasia Verruciformis in Fitzpatrick Skin Type VI: New Dermoscopic Findings
by: Rie Yotsu, et al.
Published: (2023)