A novel endoscopic spectral imaging platform integrating k-means clustering for early and non-invasive diagnosis of endometrial pathology

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 4442-4445

  Kavvadias, Vasileios ^a   Epitropou, George ^a   Georgiou, Nikos ^a   Grozou, Fani ^a   Paschopoulos, Minas ^b   Balas, Costas ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b UNIVERSITY HOSPITAL OF IOANNINA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ENDOSCOPIC SYSTEMS; K-MEANS ALGORITHM; K-MEANS CLUSTERING; MEDICAL CONDITIONS; MULTISPECTRAL IMAGING; NON-INVASIVE DIAGNOSIS; OPERATING WAVELENGTH; SPECTRAL IMAGING;

ENDOSCOPY; LIGHT SOURCES; SPECTROSCOPY; SPECTRUM ANALYSIS;

MEDICINE;

ALGORITHM; CLUSTER ANALYSIS; DEVICES; EARLY DIAGNOSIS; ENDOMETRIUM; ENDOSCOPY; EQUIPMENT DESIGN; FEMALE; HUMAN; HYPERPLASIA; IMAGE PROCESSING; PATHOLOGY; PROCEDURES;

ALGORITHMS; CLUSTER ANALYSIS; EARLY DIAGNOSIS; ENDOMETRIUM; ENDOSCOPY; EQUIPMENT DESIGN; FEMALE; HUMANS; HYPERPLASIA; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 84886573358     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610532     Document Type: Conference Paper

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