2025-26 (Autonomous)
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Browsing 2025-26 (Autonomous) by Author "M. Preeti 1NH22CE023 ShakthiPriya 1NH22CE050 Gauri B Nair 1NH22CE011 Ishmita Menon 1NH22CE014"
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Item Breast Cancer Classification aided by Homomorphic Encryption(New Horizon College of Engineering, 2026) M. Preeti 1NH22CE023 ShakthiPriya 1NH22CE050 Gauri B Nair 1NH22CE011 Ishmita Menon 1NH22CE014wealthcare has sundergime a major change in technology awww the last ten years, with the mam factors being rapid aduancemem Armficial Intelligence (Al), Machine Learning (MU, data analytics, and secure computational methods. Theur new technologies have changed the face of medicine by introduung automated analysis, predictive modelling, and des support systems that nela comcians in thagnoung donirses with improved apuracy and efficiency M impact related issues were numimoun, the one on breast cancer detection was very entical because of the disease's orevalence, mortality rate, and importance of the early stage diagnosis, Breast cancer is a complicated medical condition that results from the abromal development of cells in the breast area, farly detection & a great advantage in treatment success, but accurate diagnosis a must which can only be achieved bo analysing varied types of clinical data such as manunography images, biopsy reports, Tumor measurements, hormonal recesitor status, and patient medical histories The datasets aned in the case are extremely sensitive since they contain personal denshable health informator that a protested under very stric globul privacy regulations. The digitization of medical records along with the demand for collaborative diagnonte soort has brought to light the issues related to the secure handling and processing of sach data Medical datasets used for first canem lemon typically came of Tumur characteristics jeg margin terture Tenging fratures (ng, density masi shape) Demapphic dietalli leg age, family history) Pathology.