Yayınlanmış 1 Ocak 2016
| Sürüm v1
Dergi makalesi
Açık
Machine learning aided diagnosis of hepatic malignancies through in vivo dielectric measurements with microwaves
Oluşturanlar
- 1. Istanbul Univ, Dept Biophys, Cerrahpasa Med Sch, Istanbul, Turkey
- 2. MITOS Med Technol AS, Istanbul, Turkey
- 3. Istanbul Tech Univ, Dept Comp Engn, TR-80626 Istanbul, Turkey
- 4. Bagcilar Training & Educ Hosp, Gen Surg Clin, Istanbul, Turkey
- 5. Istanbul Univ, Cerrahpasa Med Sch, Dept Surg, Istanbul, Turkey
- 6. Istanbul Univ, Dept Pathol, Cerrahpasa Med Sch, Istanbul, Turkey
Açıklama
In the past decade, extensive research on dielectric properties of biological tissues led to characterization of dielectric property discrepancy between the malignant and healthy tissues. Such discrepancy enabled the development of microwave therapeutic and diagnostic technologies. Traditionally, dielectric property measurements of biological tissues is performed with the well-known contact probe (open-ended coaxial probe) technique. However, the technique suffers from limited accuracy and low loss resolution for permittivity and conductivity measurements, respectively. Therefore, despite the inherent dielectric property discrepancy, a rigorous measurement routine with open-ended coaxial probes is required for accurate differentiation of malignant and healthy tissues. In this paper, we propose to eliminate the need for multiple measurements with open-ended coaxial probe for malignant and healthy tissue differentiation by applying support vector machine (SVM) classification algorithm to the dielectric measurement data. To do so, first, in vivo malignant and healthy rat liver tissue dielectric property measurements are collected with open-ended coaxial probe technique between 500 MHz to 6 GHz. Cole-Cole functions are fitted to the measured dielectric properties and measurement data is verified with the literature. Malign tissue classification is realized by applying SVM to the open-ended coaxial probe measurements where as high as 99.2% accuracy (F1 Score) is obtained.
Dosyalar
bib-0e12848b-1bf6-494a-a81f-09bb63a58157.txt
Dosyalar
(371 Bytes)
| Ad | Boyut | Hepisini indir |
|---|---|---|
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md5:864f2133636fc882df93fbc57bb0d1b4
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371 Bytes | Ön İzleme İndir |