Sparse classification for computer aided diagnosis using learned dictionaries

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 41-48

  Liu, Meizhu ^a,b   Lu, Le ^a,b   Ye, Xiaojing ^a,b   Yu, Shipeng ^a,b   Salganicoff, Marcos ^a,b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAD SYSTEM; CANCER DIAGNOSIS; CLASSIFICATION FRAMEWORK; CLASSIFICATION PERFORMANCE; COLORECTAL POLYPS; CORE PROBLEMS; DATA SETS; DECISION SYSTEMS; DETECTION SENSITIVITY; FALSE POSITIVE; INDISPENSABLE TOOLS; K-NEAREST NEIGHBORS; LOGISTIC REGRESSIONS; LUNG NODULE DETECTION; MEDICAL IMAGES; MULTI-SITE; OVERCOMPLETE DICTIONARIES; RELEVANCE VECTOR MACHINE; SPARSE CLASSIFICATION; SPARSE CODING; SPARSE REPRESENTATION;

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DESIGN; MEDICAL COMPUTING; MEDICAL IMAGING; MEDICAL PROBLEMS; SUPPORT VECTOR MACHINES;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COLON POLYP; COMPUTER ASSISTED DIAGNOSIS; EDUCATION; HUMAN; IMAGE PROCESSING; INSTRUMENTATION; LEARNING; LUNG NODULE; METHODOLOGY; RADIOGRAPHY; RADIOLOGY; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COLONIC POLYPS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEARNING; MODELS, STATISTICAL; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOLOGY; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE;

EID: 80053481582     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_6     Document Type: Conference Paper

References (12)

1. Wang, S., Yao, J., Summers, R.: Improved Classifier for Computer-aided Polyp Detection in CT Colonography by Nonlinear Dimensionality Reduction. Medical Physics 35, 1377-1386 (2008)
2. Bogoni, L., Bi, J.: Lung Nodule Detection. ImageCLEF: Experimental Evaluation in Visual Information Retrieval 32, 415-434 (2010)
3. Slabaugh, G., Yang, X., Ye, X., Boyes, R., Beddoe, G.: A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms 3(1), 21-43 (2010)
4. van Ravesteijn, V., van Wijk, C., Vos, F., Truyen, R., Peters, J., Stoker, J., van Vliet, L.: Computer Aided Detection of Polyps in CT Colonography using Logistic Regression. IEEE Trans. on Med. Imag. (2010)
5. Raykar, V., Krishnapuram, B., Bi, J., Dundar, M., Rao, R.: Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer. In: ICML, pp. 808-815 (2008)
6. Mang, T., Bogoni, L., Salganicoff, M., Wolf, M.: CT Colonography: Retrospective Evaluation of the Performance of Computer-aided Detection of Colonic Polyps in Tagged and Untagged Preparation. In: ECR (2010)
7. van Ginnekena, B., Schilhama, A., Prokopb, M.: A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification. Med. Image Anal., 670-70 (2009)
8. van Ginneken, B.: Comparing and Combining Algorithms for Computer-aided Detection of Pulmonary Nodules in Computed Tomography Scans: The ANODE09 Study. Med. Image Anal., 707-722 (2010)
9. Vinje, W., Gallant, J.: Sparse coding and decorrelation in primary visual cortex during natural vision. Science, 1273-1276 (2000)
10. Aharon, M., Elad, M., Bruckstein, A., Katz, Y.: K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation. IEEE Transactions on Signal Processing 54, 4311-4322 (2006)
11. Tropp, J.: Greed is good: Algorithmic results for sparse approximation. IEEE Trans. Inf. Theory 50, 2231-2242 (2004)
12. Mairal, J., Bach, F., Ponce, J., Sapiro, G., Zisserman, A.: Learning discriminative dictionaries for local image analysis. In: Proc. IEEE CVPR (2008)