Next Article in Journal
Thermoplastic PCL-b-PEG-b-PCL and HDI Polyurethanes for Extrusion-Based 3D-Printing of Tough Hydrogels
Next Article in Special Issue
Detection of Osteoporosis from Percussion Responses Using an Electronic Stethoscope and Machine Learning
Previous Article in Journal
Radiotherapy Advances in Pediatric Neuro-Oncology
Previous Article in Special Issue
Evaluation of a Computer-Aided Diagnosis System in the Classification of Lesions in Breast Strain Elastography Imaging
Article Menu
Issue 4 (December) cover image

Export Article

Open AccessArticle
Bioengineering 2018, 5(4), 98;

Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms

Department of Precision Mechanical Engineering, Chonbuk National University, 567 Baekje-daero, Jeonjusi 561-756, Korea
Author to whom correspondence should be addressed.
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)
Full-Text   |   PDF [4480 KB, uploaded 5 November 2018]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Park, Y.H.; Yang, S.M. Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms. Bioengineering 2018, 5, 98.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Bioengineering EISSN 2306-5354 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top