Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era-Reference-Cited by-同舟云学术

Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era

Published:2024-05-25 Issue: Volume: Page:254-262
ISSN:
Container-title:Proceedings of the Cognitive Models and Artificial Intelligence Conference
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Short-container-title:

Author:

Yadav Ankit¹^ORCID,Sharma Vinay¹^ORCID,Raj Gaurav¹^ORCID,Choudhury Tanupriya²^ORCID,Sar Ayan³^ORCID,Kotecha Ketan⁴^ORCID,Ozseven Turgut⁵^ORCID

Affiliation:

1. Sharda University, India

2. CSE Dept., Graphic Era Deemed to be University, India

3. University of Petroleum and Energy Studies, India

4. Symbiosis Institute of Technology, Lavale, Pune, 412115, India., Symbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis International (Deemed University) (SIU), India

5. Tokat Gaziosmanpasa University, Turkiye

Funder

We thank to receive the funding for this research work from RSF (Research Support funding) from Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU),Lavale Campus, Pune, Maharashtra,412115, India.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3660853.3660924

Reference25 articles.

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3. An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions

4. Selected Findings: Food Consumption Profiles of White and Black Persons 1-74 Years of Age in the United States, 1971-74

5. Dermatologist-level classification of skin cancer with deep neural networks