A robust mosaicing method with super-resolution for optical medical images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6326 LNCS, Issue , 2010, Pages 373-382

  Hu, Mingxing ^a   Penney, Graeme ^b   Rueckert, Daniel ^c   Edwards, Philip ^c   Bello, Fernando ^c   Figl, Michael ^c   Casula, Roberto ^d   Cen, Yigang ^e   Liu, Jie ^e   Miao, Zhenjiang ^e   Hawkes, David ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d ST MARY S HOSPITAL   (United Kingdom)

^e BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BUNDLE ADJUSTMENTS; CORONARY ARTERY BYPASS SURGERY; DATA SETS; ENDOSCOPIC IMAGE; FEATURE-BASED METHOD; FIELD OF VIEWS; IMAGE-GUIDED DIAGNOSIS; MAXIMUM A POSTERIORS; MEDICAL IMAGES; MINIMAL COST; MOSAICING; SUPER RESOLUTION; TOPOLOGY INFERENCE; VIDEO MOSAICING;

AUGMENTED REALITY; CONFOCAL MICROSCOPY; ENDOSCOPY; OPTICAL RESOLVING POWER; TOPOLOGY; VIRTUAL REALITY;

MEDICAL IMAGING;

EID: 78049425467     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15699-1_39     Document Type: Conference Paper

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