DTI based diagnostic prediction of a disease via pattern classification

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 558-565

  Ingalhalikar, Madhura ^a   Kanterakis, Stathis ^a   Gur, Ruben ^a   Roberts, Timothy P L ^b   Verma, Ragini ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTISM SPECTRUM DISORDERS; CLASSIFICATION ACCURACY; DIFFUSION TENSOR IMAGING; DIFFUSIVITIES; ELASTIC REGISTRATION; FEATURE SELECTION; HIGH-DIMENSIONAL; MUTUAL INFORMATIONS; NON-LINEAR; PATTERN CLASSIFICATION; PATTERN CLASSIFIER; SCHIZOPHRENIA PATIENTS;

CLASSIFIERS; DIAGNOSIS; DISEASES; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; PATHOLOGY; POPULATION STATISTICS; TENSORS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; AUTISM; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; AUTISTIC DISORDER; BRAIN; DIAGNOSIS, DIFFERENTIAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 78349291518     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_68     Document Type: Conference Paper

References (13)

1. Lao, Z., Shen, D., Xue, Z., Karacali, B., Resnick, S.M., Davatzikos, C.: Morphological classification of brains via high-dimensional shape transformations and machine learning methods. Neuroimage 21(1), 46-57 (2004)
2. Golland, P., Grimson, W.E.L., Shenton, M.E., Kikinis, R.: Detection and analysis of statistical differences in anatomical shape. Med. Image Anal. 9(1), 69-86 (2005)
3. Yushkevich, P., Joshi, S., Pizer, S.M., Csernansky, J.G., Wang, L.E.: Feature selection for shape-based classification of biological objects. Inf. Process Med. Imaging 18, 114-125 (2003)
4. Fan, Y., Shen, D., Gur, R.C., Gur, R.E., Davatzikos, C.: Compare: classification of morphological patterns using adaptive regional elements. IEEE Trans Med. Imaging 26(1), 93-105 (2007)
5. Pohl, K.M., Sabuncu,M.R.: A unified framework for mr based disease classification. Inf. Process Med. Imaging 21, 300-313 (2009)
6. Caan, M.W.A., Vermeer, K.A., van Vliet, L.J., Majoie, C.B.L.M., Peters, B.D., den Heeten, G.J., Vos, F.M.: Shaving diffusion tensor images in discriminant analysis: a study into schizophrenia. Med. Image Anal. 10(6), 841-849 (2006)
7. Wang, P., Verma, R.: On classifying disease-induced patterns in the brain using diffusion tensor images. Med. Image Comput. Comput. Assist Interv. 11(Pt 1), 908-916 (2008)
8. Wakana, S., Jiang, H., Nagae-Poetscher, L.M., van Zijl, P.C.M., Mori, S.: Fiber Tract-based Atlas of Human White Matter Anatomy. Radiology 230(1), 77-87 (2004)
9. Ingalhalikar, M., Yang, J., Davatzikos, C., Verma, R.: Dti-droid: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. International Journal of Imaging Systems and Technology 20(2), 99-107 (2010)
10. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157-1182 (2003)
11. Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal. Mach. Intell. 27(8), 1226-1238 (2005)
12. Rakotomamonjy, A.: Variable selection using svm based criteria. J. Mach. Learn. Res. 3, 1357-1370 (2003)
13. Vapnik, V.N.: An overview of statistical learning theory. IEEE Trans Neural Netw. 10(5), 988-999 (1999)