Breast Lump Assessment: An IoT-Integrated Framework with Advanced Localization Techniques

M Kavitha, Singaraju Srinivasulu, P S Latha Kalyampudi, N. Sunanda, M Kalyani, V Gopikrishna and D Mythrayee

Data and Metadata, 2025, vol. 4, 849

Abstract: Internet of Things (IoT) influences many areas such as healthcare, transportation, agriculture, industry control, environment monitoring, and water management. Healthcare is a major area in which the IoT enables a more personalized form of healthcare through smart healthcare systems. Breast cancer is the second leading cause of death among women globally, and its incidence is increasing every year. Early-stage detection of breast cancer is an important research challenge in the medical field. The aim of this article is to design an IoT - Integrated framework with advanced localization techniques for breast lump assessment. Through the proposed framework, breast lumps are monitored periodically using sensor embedded wearable jacket. The lump position and its depth in the breast are evaluated using localization techniques in sensor organization. Model outcome is analysed for six periodic tests data. Results evidence that periodic monitoring of breast health using the designed framework is effective to fix abnormal lumps at the early stage.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:849:id:1056294dm2025849

DOI: 10.56294/dm2025849

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