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Volumn 6376 LNCS, Issue , 2010, Pages 333-342

A model-based approach to the segmentation of nasal cavity and paranasal sinus boundaries

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SEGMENTATION; CLINICAL APPLICATION; COMPUTED TOMOGRAPHY DATA; MODEL BASED APPROACH; MODEL DRIVEN APPROACH; NASAL CAVITY; PARAMETRIC LEVEL-SET; PARANASAL SINUS; PROCESSING CHAIN; REGION GROWING; REGION INFORMATION; ROBOT-ASSISTED SURGERY; SEGMENTATION PROCESS; SURGICAL PLANNING; SURGICAL SIMULATION; USER INTERACTION;

EID: 78349261964     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15986-2_34     Document Type: Conference Paper
Times cited : (12)

References (21)
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    • Bildanalyse und Visualisierung für die Planung von Nasennebenhöhlen-Operationen
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  • 13
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    • A priori information in image segmentation: Energy functional based on shape statistical model and image information
    • Bresson, X., Vandergheynst, P., Thiran, J.: A priori information in image segmentation: Energy functional based on shape statistical model and image information. In: Proc. of IEEE International Conference on Image Processing, pp. 428-431 (2003)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.