PRIVACY-AWARE MALARIA DETECTION: U-NET MODEL WITH K-ANONYMITY FOR CONFIDENTIAL IMAGE ANALYSIS
Malaria detection through cell image analysis is essential for early diagnosis and effective treatment, as timely detection can significantly reduce the risk of severe health complications. However, this process raises substantial privacy concerns due to the sensitivity of medical data. This study p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2025-03-01
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| Series: | Jordanian Journal of Computers and Information Technology |
| Subjects: | |
| Online Access: | https://www.jjcit.org/?mno=214488 |