A learning based hierarchical framework for automatic prostate localization in CT images

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

Volumn 6963 LNCS, Issue , 2011, Pages 1-9

  Liao, Shu ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL FEATURES; CT IMAGE; IMAGE REGIONS; IMAGE SIMILARITY; IMAGE-GUIDED RADIATION THERAPY; INPUT IMAGE; LOW CONTRAST; ONLINE LEARNING; PROSTATE LOCALIZATION; SALIENT FEATURES;

DISEASES; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; RADIOTHERAPY; THREE DIMENSIONAL;

COMPUTERIZED TOMOGRAPHY;

EID: 80053467262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23944-1_1     Document Type: Conference Paper

References (8)

1. Cosio, F.: Automatic initialization of an active shape model of the prostate. Medical Image Analysis 12, 469-483 (2008)
2. Stough, J., Broadhurst, R., Pizer, S., Chaney, E.: Regional appearance in deformable model segmentation. In: IPMI, pp. 532-543 (2007)
3. Davis, B.C., Foskey, M., Rosenman, J., Goyal, L., Chang, S., Joshi, S.: Automatic segmentation of intra-treatment CT images for adaptive radiation therapy of the prostate. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 442-450. Springer, Heidelberg (2005) (Pubitemid 43828281)
4. Mallat, S.: A theory for multiresolution signal decomposition: The wavelet representation. PAMI 11, 674-693 (1989)
5. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886-893 (2005)
6. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI 24, 971-987 (2002)
7. Zhou, L., Liao, S., Shen, D.: Learning-based prostate localization for image guided radiation therapy. In: ISBI, pp. 2103-2106 (2011)
8. Feng, Q., Foskey, M., Chen, W., Shen, D.: Segmenting ct prostate images using population and patient-specific statistics for radiotherapy. Medical Physics 37, 4121-4132 (2010)