Singh, Balbir and Ebrahim, Ahmed Mostafa Ali and Rajan, Regin and Steffi and Gupta, Shubhi and Babu, D. Vijendra (2022) IoT enabled Primary Skin Cancer Prediction Using Pigmented Lesions. In: UNSPECIFIED.
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Official URL: https://doi.org/10.1109/ICAIS53314.2022.9743043
Abstract
Skin tumor detection is critical for global health. Web of Things, Cloud Computing, machine learning, and deep learning techniques enhance medical diagnostics. This study uses a clustering approach for image preprocessing and high-quality extraction, enabling accurate detection of infected regions. The proposed framework improves medical care industry performance and facilitates secure cloud data storage. © 2022 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science > Artificial Intelligence Computer Science > Computer Science Applications Computer Science > Information Systems and Management Computer Science > Computer Vision and Pattern Recognition Energy > Energy Engineering > Control and Optimization |
| Divisions: | Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India > Anatomy |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 02 Dec 2025 09:32 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/2995 |
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