Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections

IEEE Transactions on Medical Imaging

Volumn 24, Issue 10, 2005, Pages 1286-1307

  Braumann, Ulf Dietrich ^a,b   Kuska, Jens Peer ^a,b   Einenkel, Jens ^b   Horn, Lars Christian ^b   Löffler, Markus ^b   Höckel, Michael ^b  

^a IEEE   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Biological tissues; Image color analysis; Image processing; Image registration; Image segmentation; Image shape analysis; Scientific visualization; Tumors

Indexed keywords

BIOLOGICAL TISSUES; IMAGE COLOR ANALYSIS; IMAGE REGISTRATION; SCIENTIFIC VISUALIZATION;

BIOLOGICAL ORGANS; BOUNDARY CONDITIONS; IMAGE SEGMENTATION; MEDICAL IMAGING; THREE DIMENSIONAL; TUMORS;

IMAGE RECONSTRUCTION;

ALGORITHM; ANATOMY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CANCER INVASION; CANCER STAGING; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; MICROSCOPY; MICROTOMY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SQUAMOUS CELL CARCINOMA; THREE DIMENSIONAL IMAGING; UTERINE CERVIX TUMOR;

ALGORITHMS; ANATOMY, CROSS-SECTIONAL; ARTIFICIAL INTELLIGENCE; CARCINOMA, SQUAMOUS CELL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MICROSCOPY, VIDEO; MICROTOMY; NEOPLASM INVASIVENESS; NEOPLASM STAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; UTERINE CERVICAL NEOPLASMS;

EID: 26844553603     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.855437     Document Type: Article

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