TY  - JOUR
AU  - Jevtic, Dubravka R.
AU  - Avramov Ivić, Milka
AU  - Reljin, Irini S.
AU  - Reljin, Branimir D.
AU  - Plavec, Goran I.
AU  - Petrović, Slobodan D.
AU  - Mijin, Dušan
PY  - 2014
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/1516
AB  - The automated, computer-aided method for differentiation and classification of malignant (M) from benign (B) cases, by analyzing the UV/VIS spectra of pleural effusions is described. It was shown that by two independent objective features, the maximum of Katz fractal dimension (KFDmax) and the area under normalized UV/VIS absorbance curve (Area), highly reliable M-B classification is possible. In the Area-KFDmax space M and B samples are linearly separable permitting thus the use of linear support vector machine as a classification tool. By analyzing 104 samples of UV/VIS spectra of pleural effusions (88 M and 16 B) collected from patients at the Clinic for Lung Diseases and Tuberculosis, Military Medical Academy in Belgrade, the accuracy of 95.45% for M cases and 100% for B cases are obtained by using the proposed method. It was shown that by applying some modifications, which are suggested in the paper, the accuracy of 100% for M cases can be reached.
PB  - Elsevier
T2  - Physica A: Statistical Mechanics and its Applications
T1  - Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions
VL  - 403
SP  - 206
EP  - 216
DO  - 10.1016/j.physa.2014.02.026
ER  - 

@article{
author = "Jevtic, Dubravka R. and Avramov Ivić, Milka and Reljin, Irini S. and Reljin, Branimir D. and Plavec, Goran I. and Petrović, Slobodan D. and Mijin, Dušan",
year = "2014",
abstract = "The automated, computer-aided method for differentiation and classification of malignant (M) from benign (B) cases, by analyzing the UV/VIS spectra of pleural effusions is described. It was shown that by two independent objective features, the maximum of Katz fractal dimension (KFDmax) and the area under normalized UV/VIS absorbance curve (Area), highly reliable M-B classification is possible. In the Area-KFDmax space M and B samples are linearly separable permitting thus the use of linear support vector machine as a classification tool. By analyzing 104 samples of UV/VIS spectra of pleural effusions (88 M and 16 B) collected from patients at the Clinic for Lung Diseases and Tuberculosis, Military Medical Academy in Belgrade, the accuracy of 95.45% for M cases and 100% for B cases are obtained by using the proposed method. It was shown that by applying some modifications, which are suggested in the paper, the accuracy of 100% for M cases can be reached.",
publisher = "Elsevier",
journal = "Physica A: Statistical Mechanics and its Applications",
title = "Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions",
volume = "403",
pages = "206-216",
doi = "10.1016/j.physa.2014.02.026"
}

Jevtic, D. R., Avramov Ivić, M., Reljin, I. S., Reljin, B. D., Plavec, G. I., Petrović, S. D.,& Mijin, D.. (2014). Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions. in Physica A: Statistical Mechanics and its Applications
Elsevier., 403, 206-216.
https://doi.org/10.1016/j.physa.2014.02.026

Jevtic DR, Avramov Ivić M, Reljin IS, Reljin BD, Plavec GI, Petrović SD, Mijin D. Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions. in Physica A: Statistical Mechanics and its Applications. 2014;403:206-216.
doi:10.1016/j.physa.2014.02.026 .

Jevtic, Dubravka R., Avramov Ivić, Milka, Reljin, Irini S., Reljin, Branimir D., Plavec, Goran I., Petrović, Slobodan D., Mijin, Dušan, "Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions" in Physica A: Statistical Mechanics and its Applications, 403 (2014):206-216,
https://doi.org/10.1016/j.physa.2014.02.026 . .