TY  - JOUR
AU  - Dramićanin, Tatjana
AU  - Zeković, Ivana Lj.
AU  - Dimitrijević, Bogomir B.
AU  - Ribar, Srđan
AU  - Dramićanin, Miroslav
PY  - 2009
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/6848
AB  - Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80 degrees C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.
T2  - Acta Physica Polonica A
T1  - Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data
VL  - 116
IS  - 4
SP  - 690
EP  - 692
DO  - 10.12693/APhysPolA.116.690
ER  - 

@article{
author = "Dramićanin, Tatjana and Zeković, Ivana Lj. and Dimitrijević, Bogomir B. and Ribar, Srđan and Dramićanin, Miroslav",
year = "2009",
abstract = "Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80 degrees C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.",
journal = "Acta Physica Polonica A",
title = "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data",
volume = "116",
number = "4",
pages = "690-692",
doi = "10.12693/APhysPolA.116.690"
}

Dramićanin, T., Zeković, I. Lj., Dimitrijević, B. B., Ribar, S.,& Dramićanin, M.. (2009). Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data. in Acta Physica Polonica A, 116(4), 690-692.
https://doi.org/10.12693/APhysPolA.116.690

Dramićanin T, Zeković IL, Dimitrijević BB, Ribar S, Dramićanin M. Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data. in Acta Physica Polonica A. 2009;116(4):690-692.
doi:10.12693/APhysPolA.116.690 .

Dramićanin, Tatjana, Zeković, Ivana Lj., Dimitrijević, Bogomir B., Ribar, Srđan, Dramićanin, Miroslav, "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data" in Acta Physica Polonica A, 116, no. 4 (2009):690-692,
https://doi.org/10.12693/APhysPolA.116.690 . .

TY  - JOUR
AU  - Stamenković, Gorana
AU  - Božić, Milena
AU  - Jovanović-Ćupić, Snežana P.
AU  - Bojovic, Ksenija
AU  - Simonovic, Jasmina
PY  - 2007
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/3417
T2  - Archives of Biological Sciences
T1  - Hepatitis C virus as cause of fulminant hepatitis-sequence analysis of the 5nontranslated region
VL  - 59
IS  - 3
SP  - 37P
EP  - 38P
DO  - 10.2298/ABS070337PS
ER  - 

@article{
author = "Stamenković, Gorana and Božić, Milena and Jovanović-Ćupić, Snežana P. and Bojovic, Ksenija and Simonovic, Jasmina",
year = "2007",
journal = "Archives of Biological Sciences",
title = "Hepatitis C virus as cause of fulminant hepatitis-sequence analysis of the 5nontranslated region",
volume = "59",
number = "3",
pages = "37P-38P",
doi = "10.2298/ABS070337PS"
}

Stamenković, G., Božić, M., Jovanović-Ćupić, S. P., Bojovic, K.,& Simonovic, J.. (2007). Hepatitis C virus as cause of fulminant hepatitis-sequence analysis of the 5nontranslated region. in Archives of Biological Sciences, 59(3), 37P-38P.
https://doi.org/10.2298/ABS070337PS

Stamenković G, Božić M, Jovanović-Ćupić SP, Bojovic K, Simonovic J. Hepatitis C virus as cause of fulminant hepatitis-sequence analysis of the 5nontranslated region. in Archives of Biological Sciences. 2007;59(3):37P-38P.
doi:10.2298/ABS070337PS .

Stamenković, Gorana, Božić, Milena, Jovanović-Ćupić, Snežana P., Bojovic, Ksenija, Simonovic, Jasmina, "Hepatitis C virus as cause of fulminant hepatitis-sequence analysis of the 5nontranslated region" in Archives of Biological Sciences, 59, no. 3 (2007):37P-38P,
https://doi.org/10.2298/ABS070337PS . .