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Bioengineering 2018, 5(4), 98; https://doi.org/10.3390/bioengineering5040098

Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms

Department of Precision Mechanical Engineering, Chonbuk National University, 567 Baekje-daero, Jeonjusi 561-756, Korea
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Received: 11 August 2018 / Revised: 14 October 2018 / Accepted: 23 October 2018 / Published: 5 November 2018
(This article belongs to the Special Issue Biosignal Processing)
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Abstract

The significance of this study lies in the importance of (1) nondestructive testing in defect studies and (2) securing the reliability of breast cancer prediction through thermal analysis in nondestructive testing. Most nondestructive tests have negative effects on the human body. Moreover, the precision and accuracy of such tests are poor. This study analyzes these drawbacks and increases the reliability of such methods. A theoretical model was constructed, by which simulated inner breast tissue was observed in a nondestructive way through thermal analysis, and the presence and extent of simulated breast cancer were estimated based on the thermal observations. Herein, we studied the medical diagnosis of breast cancer by creating a theoretical environment that simulated breast cancer in a real-world setting; the model used two-dimensional modeling and partial differential equation (PDE) thermal analysis. Our theoretical analysis, based on partial differential equations, allowed us to demonstrate that non-wounding defect detection is possible and, in many ways, preferable. The main contribution of this paper lies in studying long-term estimates. In addition, the model in this study can be extended to predict breast cancer through pure heat and can also be used for various other cancer and tumor analyses in the human body. View Full-Text
Keywords: breast cancer; diagnosis; partial differential equation (PDE); thermal analysis breast cancer; diagnosis; partial differential equation (PDE); thermal analysis
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Park, Y.H.; Yang, S.M. Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms. Bioengineering 2018, 5, 98.

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