This work presents a case study of a 75-year-old woman breast withcancer. The investigation process used infrared image, mammography,computerized tomography (CT) and ultrasound guided biopsy toassess, stage and final diagnostic of the tumor. Each one of theseevaluations brings an isolated piece of information that results in thecorrect diagnostic, and treatment. As early diagnostic of breast cancergoes towards improvement in diagnostics and better therapeutics, it isreasonable to state that breast cancer diagnostics must be achieved asearly as possible. An association between infrared image abnormalitiesand computerized tomography is acknowledged and is assumed that acorrelation could exist. The technical literature demonstrated thattumor depth could be inferred from infrared images, but criticalinformation such as breast perfusion for accurate predictions are notavailable yet. Considering that a mathematical model could modelbreast perfusion, this study proposes that tumor morphology and depthin breast cancer could be adequately determined using mathematicalmodeling, infrared imaging, and computerized tomography incomplementary actions.
Privacy Preserving Association Rule Mining on Distributed Healthcare Data: COVID-19 and Breast Cancer Case Study
