FINKŠT, Tomaž ;TASIČ, Jurij Franc ;ZORMAN-TERČELJ, Marjeta ;ZAJC, Matej .
Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces.
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 58, n.9, p. 501-508, june 2018.
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/>. Date accessed: 21 jan. 2026.
doi:http://dx.doi.org/10.5545/sv-jme.2012.350.
Finkšt, T., Tasič, J., Zorman-Terčelj, M., & Zajc, M.
(2012).
Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces.
Strojniški vestnik - Journal of Mechanical Engineering, 58(9), 501-508.
doi:http://dx.doi.org/10.5545/sv-jme.2012.350
@article{sv-jmesv-jme.2012.350,
author = {Tomaž Finkšt and Jurij Franc Tasič and Marjeta Zorman-Terčelj and Matej Zajc},
title = {Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {9},
year = {2012},
keywords = {colour spaces; image processing; image acquisition; image segmentation; edge detection; autofluorescence bronchoscopy},
abstract = {Reading diagnostic medical images usually requires the expertise of a specialist physician. To aid physicians we have developed an algorithm that deduces medical information by analysing colour nuances of an image obtained by bronchoscopy. The goal is to ensure a high probability of detecting bronchial cancer. Autofluorescent bronchoscopy images are analysed by the proposed algorithm. The machine-made diagnoses of early cancer stages are highly correlated with the diagnoses made by a medical expert. Reading the image using a specialized apparatus and producing a pre-diagnosis by image-recognition software and a special set of rules has the potential to produce automated second opinions for most cases of the disease.},
issn = {0039-2480}, pages = {501-508}, doi = {10.5545/sv-jme.2012.350},
url = {https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/}
}
Finkšt, T.,Tasič, J.,Zorman-Terčelj, M.,Zajc, M.
2012 June 58. Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 58:9
%A Finkšt, Tomaž
%A Tasič, Jurij Franc
%A Zorman-Terčelj, Marjeta
%A Zajc, Matej
%D 2012
%T Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces
%B 2012
%9 colour spaces; image processing; image acquisition; image segmentation; edge detection; autofluorescence bronchoscopy
%! Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces
%K colour spaces; image processing; image acquisition; image segmentation; edge detection; autofluorescence bronchoscopy
%X Reading diagnostic medical images usually requires the expertise of a specialist physician. To aid physicians we have developed an algorithm that deduces medical information by analysing colour nuances of an image obtained by bronchoscopy. The goal is to ensure a high probability of detecting bronchial cancer. Autofluorescent bronchoscopy images are analysed by the proposed algorithm. The machine-made diagnoses of early cancer stages are highly correlated with the diagnoses made by a medical expert. Reading the image using a specialized apparatus and producing a pre-diagnosis by image-recognition software and a special set of rules has the potential to produce automated second opinions for most cases of the disease.
%U https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/
%0 Journal Article
%R 10.5545/sv-jme.2012.350
%& 501
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 58
%N 9
%@ 0039-2480
%8 2018-06-28
%7 2018-06-28
Finkšt, Tomaž, Jurij Franc Tasič, Marjeta Zorman-Terčelj, & Matej Zajc.
"Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces." Strojniški vestnik - Journal of Mechanical Engineering [Online], 58.9 (2012): 501-508. Web. 21 Jan. 2026
TY - JOUR
AU - Finkšt, Tomaž
AU - Tasič, Jurij Franc
AU - Zorman-Terčelj, Marjeta
AU - Zajc, Matej
PY - 2012
TI - Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces
JF - Strojniški vestnik - Journal of Mechanical Engineering
DO - 10.5545/sv-jme.2012.350
KW - colour spaces; image processing; image acquisition; image segmentation; edge detection; autofluorescence bronchoscopy
N2 - Reading diagnostic medical images usually requires the expertise of a specialist physician. To aid physicians we have developed an algorithm that deduces medical information by analysing colour nuances of an image obtained by bronchoscopy. The goal is to ensure a high probability of detecting bronchial cancer. Autofluorescent bronchoscopy images are analysed by the proposed algorithm. The machine-made diagnoses of early cancer stages are highly correlated with the diagnoses made by a medical expert. Reading the image using a specialized apparatus and producing a pre-diagnosis by image-recognition software and a special set of rules has the potential to produce automated second opinions for most cases of the disease.
UR - https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/
@article{{sv-jme}{sv-jme.2012.350},
author = {Finkšt, T., Tasič, J., Zorman-Terčelj, M., Zajc, M.},
title = {Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {9},
year = {2012},
doi = {10.5545/sv-jme.2012.350},
url = {https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/}
}
TY - JOUR
AU - Finkšt, Tomaž
AU - Tasič, Jurij Franc
AU - Zorman-Terčelj, Marjeta
AU - Zajc, Matej
PY - 2018/06/28
TI - Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces
JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 58, No 9 (2012): Strojniški vestnik - Journal of Mechanical Engineering
DO - 10.5545/sv-jme.2012.350
KW - colour spaces, image processing, image acquisition, image segmentation, edge detection, autofluorescence bronchoscopy
N2 - Reading diagnostic medical images usually requires the expertise of a specialist physician. To aid physicians we have developed an algorithm that deduces medical information by analysing colour nuances of an image obtained by bronchoscopy. The goal is to ensure a high probability of detecting bronchial cancer. Autofluorescent bronchoscopy images are analysed by the proposed algorithm. The machine-made diagnoses of early cancer stages are highly correlated with the diagnoses made by a medical expert. Reading the image using a specialized apparatus and producing a pre-diagnosis by image-recognition software and a special set of rules has the potential to produce automated second opinions for most cases of the disease.
UR - https://www.sv-jme.eu/article/autofluorescence-bronchoscopy-image-processing-in-the-selected-colour-spaces/
Finkšt, Tomaž, Tasič, Jurij Franc, Zorman-Terčelj, Marjeta, AND Zajc, Matej.
"Autofluorescence Bronchoscopy Image Processing in the Selected Colour Spaces" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 58 Number 9 (28 June 2018)
