An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 3443-3446

  Galaro, Joseph ^a   Judkins, Alexander R ^b   Ellison, David ^c   Baccon, Jennifer ^d   Madabhushi, Anant ^a  

^a RUTGERS UNIVERSITY   (United States)

^b CHILDREN S HOSPITAL LOS ANGELES   (United States)

^c ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

^d PENN STATE COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; BAG OF WORDS; CONTENT BASED IMAGE RETRIEVAL SYSTEMS; CROSS VALIDATION; HAAR WAVELETS; HISTOLOGICAL IMAGES; IMAGE FEATURES; MEAN CLASSIFICATION; MEDULLOBLASTOMA; NEAREST NEIGHBORS; ROTATION INVARIANT; SPATIAL ORIENTATIONS; TEXTONS;

BRAIN; FILTER BANKS; IMAGE RETRIEVAL; TEXTURES;

SEARCH ENGINES;

ARTICLE; CEREBELLUM TUMOR; CLASSIFICATION; COHORT ANALYSIS; HUMAN; MEDULLOBLASTOMA; NOMENCLATURE; RECEIVER OPERATING CHARACTERISTIC; VALIDATION STUDY;

CEREBELLAR NEOPLASMS; COHORT STUDIES; HUMANS; MEDULLOBLASTOMA; ROC CURVE; TERMINOLOGY AS TOPIC;

EID: 84862636421     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090931     Document Type: Conference Paper

References (10)

1. D. Ellison, "Classifying the medulloblastoma: insights from morphology and molecular genetics," Neuropathology and Applied Neurobiology, vol. 28, no. 4, pp. 257-282, 2002.
2. C. G. Eberhart, J. L. Kepner, P. T. Goldthwaite, L. E. Kun, P. K. Duffner, H. S. Friedman, D. R. Strother, and P. C. Burger, "Histopathologic grading of medulloblastomas," Cancer, vol. 94, no. 2, pp. 552-560, 2002.
3. A. Madabhushi, S. Agner, A. Basavanhally, S. Doyle, and G. Lee, "Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data." Computerized medical imaging and graphics, 2011 Feb 16 2011.
4. S. Doyle, S. Agner, A. Madabhushi, M. D. Feldman, and J. Tomaszewski, "Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features," in ISBI, 2008, pp. 496-499.
5. S. Doyle, M. Feldman, J. Tomaszewski, and A. Madabhushi, "A boosted bayesian multi-resolution classifier for prostate cancer detection from digitized needle biopsies," Biomedical Engineering, IEEE Transactions on, vol. PP, no. 99, p. 1, 2010.
6. M. Varma and A. Zisserman, "A statistical approach to texture classification from single images," International Journal of Computer Vision, vol. 62, no. 1-2, pp. 61-81, Apr. 2005.
7. J. C. Caicedo, A. Cruz, and F. A. Gonzalez, "Histopathology image classification using bag of features and kernel functions," in Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine, ser. AIME '09. Berlin, Heidelberg: Springer-Verlag, 2009, pp. 126-135.
8. P. Khurd, C. Bahlmann, P. Maday, A. Kamen, S. Gibbs-Strauss, E. Genega, and J. Frangioni, "Computer-aided gleason grading of prostate cancer histopathological images using texton forests," in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, april 2010, pp. 636 -639.
9. A. Basavanhally, S. Ganesan, S. Agner, J. Monaco, M. Feldman, J. Tomaszewski, G. Bhanot, and A. Madabhushi, "Computerized image-based detection and grading of lymphocytic infiltration in her2+ breast cancer histopathology." IEEE transactions on bio-medical engineering, vol. 57, pp. 642-53, 2010 Mar 2010.
10. Z. Struzik and A. Siebes, "The haar wavelet transform in the time series similarity paradigm," in Principles of Data Mining and Knowledge Discovery, ser. Lecture Notes in Computer Science, J. Zytkow and J. Rauch, Eds., vol. 1704. Springer Berlin / Heidelberg, 1999, pp. 12-22, 10.1007/978-3-540- 48247-52.