TY  - CONF
AU  - Lović, Jelena
AU  - Avramov Ivić, Milka
AU  - Petrović, Slobodan
AU  - Reljin, Branimir
AU  - Reljin, Irini
AU  - Mijin, Dušan
AU  - Stevanović, Sanja
AU  - Vuković, Dragan
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/6208
AB  - The constant need to find increasing number of diagnostic more sensitive technique by which we would be able to determine an altered substrate as characteristic of the disease suspected is everyday clinical problem.
PB  - Serbian society of corrosion and materials protection (UISKOZAM) / Udruženje inženjera Srbije za koroziju i zaštitu materijala
C3  - Proceedings - XXI YUCORR International Conference, Meeting point of the science and practice in the fields of corrosion, materials and environmental protection, September 17-19, 2019, Tara Mountain, Serbia
T1  - Computer–aided decision–assistant system for diagnosis of different diseases
SP  - 2
EP  - 2
UR  - https://hdl.handle.net/21.15107/rcub_cer_6208
ER  - 

@conference{
author = "Lović, Jelena and Avramov Ivić, Milka and Petrović, Slobodan and Reljin, Branimir and Reljin, Irini and Mijin, Dušan and Stevanović, Sanja and Vuković, Dragan",
year = "2019",
abstract = "The constant need to find increasing number of diagnostic more sensitive technique by which we would be able to determine an altered substrate as characteristic of the disease suspected is everyday clinical problem.",
publisher = "Serbian society of corrosion and materials protection (UISKOZAM) / Udruženje inženjera Srbije za koroziju i zaštitu materijala",
journal = "Proceedings - XXI YUCORR International Conference, Meeting point of the science and practice in the fields of corrosion, materials and environmental protection, September 17-19, 2019, Tara Mountain, Serbia",
title = "Computer–aided decision–assistant system for diagnosis of different diseases",
pages = "2-2",
url = "https://hdl.handle.net/21.15107/rcub_cer_6208"
}

Lović, J., Avramov Ivić, M., Petrović, S., Reljin, B., Reljin, I., Mijin, D., Stevanović, S.,& Vuković, D.. (2019). Computer–aided decision–assistant system for diagnosis of different diseases. in Proceedings - XXI YUCORR International Conference, Meeting point of the science and practice in the fields of corrosion, materials and environmental protection, September 17-19, 2019, Tara Mountain, Serbia
Serbian society of corrosion and materials protection (UISKOZAM) / Udruženje inženjera Srbije za koroziju i zaštitu materijala., 2-2.
https://hdl.handle.net/21.15107/rcub_cer_6208

Lović J, Avramov Ivić M, Petrović S, Reljin B, Reljin I, Mijin D, Stevanović S, Vuković D. Computer–aided decision–assistant system for diagnosis of different diseases. in Proceedings - XXI YUCORR International Conference, Meeting point of the science and practice in the fields of corrosion, materials and environmental protection, September 17-19, 2019, Tara Mountain, Serbia. 2019;:2-2.
https://hdl.handle.net/21.15107/rcub_cer_6208 .

Lović, Jelena, Avramov Ivić, Milka, Petrović, Slobodan, Reljin, Branimir, Reljin, Irini, Mijin, Dušan, Stevanović, Sanja, Vuković, Dragan, "Computer–aided decision–assistant system for diagnosis of different diseases" in Proceedings - XXI YUCORR International Conference, Meeting point of the science and practice in the fields of corrosion, materials and environmental protection, September 17-19, 2019, Tara Mountain, Serbia (2019):2-2,
https://hdl.handle.net/21.15107/rcub_cer_6208 .

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 . .