Diagnostic spectroscopic and computer-aided evaluation of malignancy from UV/VIS spectra of clear pleural effusions
Samo za registrovane korisnike
2014
Autori
Jevtic, Dubravka R.Avramov Ivić, Milka
Reljin, Irini S.
Reljin, Branimir D.
Plavec, Goran I.
Petrović, Slobodan D.
Mijin, Dušan
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Ključne reči:
Pleural effusions / Malignancy / Katz fractal dimension / UV/VIS diagnostic method / Clinical praxisIzvor:
Physica A: Statistical Mechanics and its Applications, 2014, 403, 206-216Izdavač:
- Elsevier
Finansiranje / projekti:
- Proučavanje sinteze, strukture i aktivnosti organskih jedinjenja prirodnog i sintetskog porekla (RS-172013)
- Razvoj digitalnih tehnologija i umreženih servisa u sistemima sa ugrađenim elektronskim komponentama (RS-44009)
DOI: 10.1016/j.physa.2014.02.026
ISSN: 0378-4371
WoS: 000334085700022
Scopus: 2-s2.0-84897696030
Institucija/grupa
IHTMTY - 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 . .