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Volumn 9034, Issue , 2014, Pages

Detection and location of 127 anatomical landmarks in diverse CT datasets

Author keywords

Anatomical landmarks; Computed tomography; Decision forests; ROC analysis

Indexed keywords

FORESTRY; IMAGE PROCESSING; LEARNING ALGORITHMS; MEDICAL IMAGING;

EID: 84902097169     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2039157     Document Type: Conference Paper
Times cited : (23)

References (20)
  • 2
    • 26444467996 scopus 로고    scopus 로고
    • Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models
    • Wörz, S. and Rohr, K., "Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models," Information Processing in Medical Imaging (IPMI) 18, 76-88 (2003).
    • (2003) Information Processing in Medical Imaging (IPMI) , vol.18 , pp. 76-88
    • Wörz, S.1    Rohr, K.2
  • 3
    • 28744439839 scopus 로고    scopus 로고
    • Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models
    • Wörz, S. and Rohr, K., "Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models," Medical Image Analysis 10(1), 41-58 (2006).
    • (2006) Medical Image Analysis , vol.10 , Issue.1 , pp. 41-58
    • Wörz, S.1    Rohr, K.2
  • 7
    • 36949021095 scopus 로고    scopus 로고
    • Probabilistic atlas-guided eigen-organ method for simultaneous bounding box estimation of multiple organs in volumetric CT images
    • Yao, C., Wada, T., Shimizu, A., Kobatake, H., and Nawano, S., "Probabilistic atlas-guided eigen-organ method for simultaneous bounding box estimation of multiple organs in volumetric CT images," Medical Imaging Technology 24(3), 191-200 (2006).
    • (2006) Medical Imaging Technology , vol.24 , Issue.3 , pp. 191-200
    • Yao, C.1    Wada, T.2    Shimizu, A.3    Kobatake, H.4    Nawano, S.5
  • 11
    • 80052312929 scopus 로고    scopus 로고
    • Combining generative and discriminative models for semantic segmentation of CT scans via active learning
    • Jan.
    • Iglesias, J. E., Konukoglu, E., Montillo, A., Tu, Z., and Criminisi, A., "Combining generative and discriminative models for semantic segmentation of CT scans via active learning.," Information Processing in Medical Imaging 22, 25-36 (Jan. 2011).
    • (2011) Information Processing in Medical Imaging , vol.22 , pp. 25-36
    • Iglesias, J.E.1    Konukoglu, E.2    Montillo, A.3    Tu, Z.4    Criminisi, A.5
  • 14
    • 80053462847 scopus 로고    scopus 로고
    • Automatic multi-organ segmentation using learning-based segmentation and level set optimization in [medical image computing and computer-assisted intervention (miccai)]
    • Fichtinger, G., Martel, A., and Peters, T., eds. Springer
    • Kohlberger, T., Sofka, M., Zhang, J., Birkbeck, N., Wetzl, J., Kaftan, J., Declerck, J., and Zhou, S. K., "Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization," in [Medical Image Computing and Computer-Assisted Intervention (MICCAI)], Fichtinger, G., Martel, A., and Peters, T., eds., Lecture Notes in Computer Science 6893, 338-345, Springer (2011).
    • (2011) Lecture Notes in Computer Science , vol.6893 , pp. 338-345
    • Kohlberger, T.1    Sofka, M.2    Zhang, J.3    Birkbeck, N.4    Wetzl, J.5    Kaftan, J.6    Declerck, J.7    Zhou, S.K.8
  • 16
    • 84872920754 scopus 로고    scopus 로고
    • Anatomical landmark detection using nearest neighbor matching and submodular optimization
    • Liu, D. and Zhou, S. K., "Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization," Medical image computing and computer-assisted intervention (MICCAI) 7512, 393-401 (2012).
    • (2012) Medical Image Computing and Computer-assisted Intervention (MICCAI) , vol.7512 , pp. 393-401
    • Liu, D.1    Zhou, S.K.2
  • 17
    • 84901277078 scopus 로고    scopus 로고
    • Rapid multi-organ segmentation using context integration and discriminative models in [information processing in medical imaging
    • Gee, J., Joshi, S., Pohl, K., Wells, W., and Zöllei, L., eds. Springer Berlin Heidelberg
    • Lay, N., Birkbeck, N., Zhang, J., and Zhou, S., "Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models," in [Information Processing in Medical Imaging], Gee, J., Joshi, S., Pohl, K., Wells, W., and Zöllei, L., eds., Lecture Notes in Computer Science 7917, 450-462, Springer Berlin Heidelberg (2013).
    • (2013) Lecture Notes in Computer Science , vol.7917 , pp. 450-462
    • Lay, N.1    Birkbeck, N.2    Zhang, J.3    Zhou, S.4
  • 18
    • 84898479620 scopus 로고    scopus 로고
    • Improved anatomical landmark localization in medical images using dense matching of graphical models
    • Potesil, V., Kadir, T., Platsch, G., and Brady, M., "Improved Anatomical Landmark Localization in Medical Images Using Dense Matching of Graphical Models," British Machine Vision Conference (BMVC), 1-10 (2010).
    • (2010) British Machine Vision Conference (BMVC) , pp. 1-10
    • Potesil, V.1    Kadir, T.2    Platsch, G.3    Brady, M.4
  • 19
    • 84884978733 scopus 로고    scopus 로고
    • Global localization of 3D anatomical structures by pre-filtered Hough forests and discrete optimization
    • Dec.
    • Donner, R., Menze, B. H., Bischof, H., and Langs, G., "Global localization of 3D anatomical structures by pre-filtered Hough forests and discrete optimization.," Medical Image Analysis 17, 1304-1314 (Dec. 2013).
    • (2013) Medical Image Analysis , vol.17 , pp. 1304-1314
    • Donner, R.1    Menze, B.H.2    Bischof, H.3    Langs, G.4
  • 20
    • 8344282137 scopus 로고
    • C4. 5: Programs for Machine Learning], Morgan Kaufmann series in Machine Learning
    • Quinlan, J. R., [C4. 5: Programs for Machine Learning], Morgan Kaufmann series in Machine Learning, Morgan Kaufmann (1993).
    • (1993) Morgan Kaufmann
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.