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Hyperspectral imaging and spectral classification for assisting in vivo diagnosis of melanoma precursors: preliminary results obtained from mice

Tsapras Athanasios, Terzakis Emmanouil, Papadakis Emmanouil, Balas Costas, Makris Antonios M., Tsatsanis Christos, Stathopoulos Efstathios

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URIhttp://purl.tuc.gr/dl/dias/49A92335-FBC0-47F1-A240-ACE448DD15D1-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/7738255/-
Αναγνωριστικόhttps://doi.org/10.1109/IST.2016.7738255-
Γλώσσαen-
Μέγεθος5 pagesen
ΤίτλοςHyperspectral imaging and spectral classification for assisting in vivo diagnosis of melanoma precursors: preliminary results obtained from miceen
ΔημιουργόςTsapras Athanasiosen
ΔημιουργόςΤσαπρας Αθανασιοςel
ΔημιουργόςTerzakis Emmanouilen
ΔημιουργόςPapadakis Emmanouilen
ΔημιουργόςΠαπαδακης Εμμανουηλel
ΔημιουργόςBalas Costasen
ΔημιουργόςΜπαλας Κωσταςel
ΔημιουργόςMakris Antonios M.en
ΔημιουργόςTsatsanis Christosen
ΔημιουργόςStathopoulos Efstathiosen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηDysplastic nevi are at high risk of converting to melanoma. Early detection of signs of skin dysplasias at their curable stage, is crucial. We present an integrated system combining a Hyperspectral Camera system (HyCam), with spectral classification algorithms, developed for the in vivo and objective discrimination between non dysplastic, dysplastic nevi and melanomas. A melanoma animal model was developed in order to monitor the process of melanoma development. Reference spectra were collected from normal skin areas, which were compared with the spectra obtained from the lesions using the Spectral Angle Mapper (SAM) algorithm. A pseoudocolor map was created with different colors representing various degrees of similarity between test and reference spectra. The system's predictions ware validated with biopsy/histology. Both sensitivity and specificity were found to be 77%, highlighting the potential of the method to improve diagnostic and screening accuracies.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-06-27-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαMelanomaen
Θεματική ΚατηγορίαNevien
Θεματική ΚατηγορίαSpectral classificationen
Θεματική ΚατηγορίαSpectral imagingen
Βιβλιογραφική ΑναφοράA. Tsapras, E. Terzakis, E. Papadakis, C. Balas, A. M. Makris, C. Tsatsanis and E. N. Stathopoulos, "Hyperspectral imaging and spectral classification for assisting in vivo diagnosis of melanoma precursors: preliminary results obtained from mice," in IEEE International Conference on Imaging Systems and Techniques, 2016, pp. 379-383. doi: 10.1109/IST.2016.7738255en

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