TY  - JOUR
AU  - Dramićanin, Miroslav 
AU  - Zeković, Ivana
AU  - Dimitrijević, B.
AU  - Ribar, Srđan
AU  - Dramićanin, Miroslav 
PY  - 2009
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/973
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.
PB  - Polish Acad Sciences Inst Physics, Warsaw
T2  - Acta Physica Polonica A
T1  - Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data
EP  - 692
IS  - 4
SP  - 690
VL  - 116
DO  - 10.12693/APhysPolA.116.690
ER  - 

@article{
author = "Dramićanin, Miroslav  and Zeković, Ivana and Dimitrijević, 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.",
publisher = "Polish Acad Sciences Inst Physics, Warsaw",
journal = "Acta Physica Polonica A",
title = "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data",
pages = "692-690",
number = "4",
volume = "116",
doi = "10.12693/APhysPolA.116.690"
}

Dramićanin, M., Zeković, I., Dimitrijević, 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
Polish Acad Sciences Inst Physics, Warsaw., 116(4), 690-692.
https://doi.org/10.12693/APhysPolA.116.690

Dramićanin M, Zeković I, Dimitrijević B, 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, Miroslav , Zeković, Ivana, Dimitrijević, 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  - Ribar, Srđan
AU  - Dramićanin, Miroslav 
AU  - Dramićanin, Tatjana
AU  - Matija, Lidija
PY  - 2006
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/630
AB  - Primenjena je samoorganizujuća neuronska mreža pri analizi podataka luminescencije raka dojke. Ulazni podaci su trodimenzionalni vektori koji predstavljaju normalno i maligno humano tkivo. Analizirana je mogućnost klasifikacije podataka u dve grupe. Mreža je zadovoljavajuće obavila klasifikaciju ulaznih podataka.
AB  - Self-organizing mapping neural networks are applied in the analysis of breast cancer luminescence data. Data consist of three dimensional vectors presenting normal and malignant human tissue. The possibility of such data classification in two groups (normal and malignant tissue) is analyzed. The network performed successful classification.
PB  - Univerzitet u Beogradu - Mašinski fakultet, Beograd
T2  - FME Transactions
T1  - Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže
T1  - Classification of breast cancer luminescence data using self-organizing mapping neural network
EP  - 91
IS  - 2
SP  - 87
VL  - 34
UR  - https://hdl.handle.net/21.15107/rcub_machinery_630
ER  - 

@article{
author = "Ribar, Srđan and Dramićanin, Miroslav  and Dramićanin, Tatjana and Matija, Lidija",
year = "2006",
abstract = "Primenjena je samoorganizujuća neuronska mreža pri analizi podataka luminescencije raka dojke. Ulazni podaci su trodimenzionalni vektori koji predstavljaju normalno i maligno humano tkivo. Analizirana je mogućnost klasifikacije podataka u dve grupe. Mreža je zadovoljavajuće obavila klasifikaciju ulaznih podataka., Self-organizing mapping neural networks are applied in the analysis of breast cancer luminescence data. Data consist of three dimensional vectors presenting normal and malignant human tissue. The possibility of such data classification in two groups (normal and malignant tissue) is analyzed. The network performed successful classification.",
publisher = "Univerzitet u Beogradu - Mašinski fakultet, Beograd",
journal = "FME Transactions",
title = "Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže, Classification of breast cancer luminescence data using self-organizing mapping neural network",
pages = "91-87",
number = "2",
volume = "34",
url = "https://hdl.handle.net/21.15107/rcub_machinery_630"
}

Ribar, S., Dramićanin, M., Dramićanin, T.,& Matija, L.. (2006). Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže. in FME Transactions
Univerzitet u Beogradu - Mašinski fakultet, Beograd., 34(2), 87-91.
https://hdl.handle.net/21.15107/rcub_machinery_630

Ribar S, Dramićanin M, Dramićanin T, Matija L. Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže. in FME Transactions. 2006;34(2):87-91.
https://hdl.handle.net/21.15107/rcub_machinery_630 .

Ribar, Srđan, Dramićanin, Miroslav , Dramićanin, Tatjana, Matija, Lidija, "Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže" in FME Transactions, 34, no. 2 (2006):87-91,
https://hdl.handle.net/21.15107/rcub_machinery_630 .