FusionEXNet: an interpretable fused deep learning model for skin cancer detection
Author:
Affiliation:
1. Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India
2. Department of Electronics & Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2024.2385923
Reference39 articles.
1. Quality-of-Life Effects of Common Dermatological Diseases
2. The Global Burden of Skin Disease in 2010: An Analysis of the Prevalence and Impact of Skin Conditions
3. Patient prioritisation of impact items to develop the patient‐reported impact of dermatological diseases (PRIDD) measure: European Delphi data
4. Deep Learning in Skin Disease Image Recognition: A Review
5. Johnson MLT. (1977). Prevalence of dermatological disease among persons 1-74 years of age United States (No. 4). US Department of Health Education and Welfare Public Health Service Health Resources Administration.
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