Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Dermatological conditions are a global health concern affecting all age groups. They encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts, macules, and papules. Early diagnosis of dermatological conditions is crucial to prevent skin damage and chronic diseases....
Main Authors: | Stephanie S. Noronha, Mayuri A. Mehta, Dweepna Garg, Ketan Kotecha, Ajith Abraham |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10342692/ |
Similar Items
-
DEVO: an ontology to assist with dermoscopic feature standardization
by: Xinyuan Zhang, et al.
Published: (2023-08-01) -
Characterization of the dermoscopic features of common psoriatic lesions
by: Jun-jie LI, et al.
Published: (2019-02-01) -
Evaluation of dermoscopic findings of longitudinal melanonychia in referred patients to dermatology clinics in Guilan, Iran
by: Kaveh Gharaei Nejad, et al.
Published: (2023-03-01) -
Dermoscopy Update: Review of its Extradiagnostic and Expanding Indications and Future Prospects
by: Sidharth Sonthalia, et al.
Published: (2019-10-01) -
Melanoma Detection Using an Objective System Based on Multiple Connected Neural Networks
by: Loretta Ichim, et al.
Published: (2020-01-01)