Mobile Application for Skin Disease Classification Using CNN with User Privacy

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ID: 313036
2024
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Abstract
The human body faces numerous challenges, and the skin, in particular, proves to be difficult to analyze mechanically because of its unevenness, complexion, presence of hair, and other alleviated attachments. Consequently, there is a growing need for an accurate, automatic system for detecting skin diseases. Due to dataset imbalance and data security issues, classifying skin diseases using medical images is difficult. The primary reason for the lack of accessible datasets is privacy and confidentiality concerns related to medical data sharing. In Medical Image Analysis (MIA), the Convolution Neural Network (CNN) performance for classification and a federated learning strategy for data privacy protection is impressive. Our results show that CNN can achieve an accuracy score of 0.90. We suggest a mobile application for classifying skin diseases using CNN and a federated learning strategy. The analysis of human skin with this mobile app is outstanding while maintaining data security.
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imported_1777058599_69ebc327f2472 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Attique Ur Rehman
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/432
Keywords Keywords not found

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