Hyperspectral hybrid method classification for detecting altered mucosa of the human larynx

International Journal of Health Geographics

Volumn 11, Issue , 2012, Pages

  Martin, Ron ^a   Thies, Boris ^a   Gerstner, Andreas O H ^b  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

Automatic target detection; Endoscopy; Hyperspectral imaging; Laryngeal disorders; Mucosal surfaces; Signature extraction; Tissue characterization

Indexed keywords

HISTOLOGY; IMAGE CLASSIFICATION; IMAGING METHOD; LESION; MEDICINE; PATHOLOGY;

ARTICLE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HUMAN; LARYNGOSCOPY; LARYNX DISORDER; LARYNX MUCOSA; LUMINESCENCE; METHODOLOGY; PATHOLOGY; REMOTE SENSING;

DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSTIC IMAGING; HUMANS; LARYNGEAL DISEASES; LARYNGEAL MUCOSA; LARYNGOSCOPY; LUMINESCENT MEASUREMENTS; REMOTE SENSING TECHNOLOGY;

EID: 84862503580     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-11-21     Document Type: Article

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