Novel automated vessel pattern characterization of larynx contact endoscopic video images

[1] Markou K(2013)Laryngeal cancer: epidemiological data from Northern Greece and review of the literature Hippokratia 17 313-332

[2] Christoforidou A(2012)Contact Endoscopy: a promising tool for evaluation of laryngeal mucosal lesions J Laryngol Voice 2 53-85

[3] Karasmanis I(2016)Laryngeal tumor detection and classification in endoscopic video IEEE J Biomed Health Inf 20 322-2761

[4] Tsiropoulos G(2015)Classification of laryngeal disorders based on shape and vascular defects of vocal folds Comput Biol Med 62 76-316

[5] Triaridis S(2017)Confident texture-based laryngeal tissue classification for early stage diagnosis support J Med Imaging 4 034502-119

[6] Constantinidis I(2018)Ensemble of convolutional neural networks for bioimage classification Appl Comput Inform 122 2754-227

[7] Vital V(2012)Diagnostic significance of narrow-band imaging for detecting high-grade dysplasia, carcinoma in situ, and carcinoma in oral leukoplakia Laryngoscope 115 314-1559

[8] Nikolaou A(1995)Contact endoscopy of the vocal cord: normal and pathological patterns Acta Oto-Laryngol 112 113-1214

[9] Mishra A(2003)Compact endoscopy of the larynx Ann Otol Rhinol Laryngol 53 221-1606

[10] Nilakantan A(2008)The role of computer-assisted analysis in the evaluation of nuclear characteristics for the diagnosis of precancerous and cancerous lesions by contact laryngoscopy Adv Med Sci 67 1558-1903

[1] Markou K(2013)Laryngeal cancer: epidemiological data from Northern Greece and review of the literature Hippokratia 17 313-332

[2] Christoforidou A(2012)Contact Endoscopy: a promising tool for evaluation of laryngeal mucosal lesions J Laryngol Voice 2 53-85

[3] Karasmanis I(2016)Laryngeal tumor detection and classification in endoscopic video IEEE J Biomed Health Inf 20 322-2761

[4] Tsiropoulos G(2015)Classification of laryngeal disorders based on shape and vascular defects of vocal folds Comput Biol Med 62 76-316

[5] Triaridis S(2017)Confident texture-based laryngeal tissue classification for early stage diagnosis support J Med Imaging 4 034502-119

[6] Constantinidis I(2018)Ensemble of convolutional neural networks for bioimage classification Appl Comput Inform 122 2754-227

[7] Vital V(2012)Diagnostic significance of narrow-band imaging for detecting high-grade dysplasia, carcinoma in situ, and carcinoma in oral leukoplakia Laryngoscope 115 314-1559

[8] Nikolaou A(1995)Contact endoscopy of the vocal cord: normal and pathological patterns Acta Oto-Laryngol 112 113-1214

[9] Mishra A(2003)Compact endoscopy of the larynx Ann Otol Rhinol Laryngol 53 221-1606

[10] Nilakantan A(2008)The role of computer-assisted analysis in the evaluation of nuclear characteristics for the diagnosis of precancerous and cancerous lesions by contact laryngoscopy Adv Med Sci 67 1558-1903