On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 3370-3373

  Aloraidi, Nada A ^a   Sirinukunwattana, Korsuk ^a,b   Khan, Adnan M ^a,b   Rajpoot, Nasir M ^a,b  

^a Qatar University   (Qatar)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CELL PROLIFERATION; CLASSIFICATION (OF INFORMATION); CYTOLOGY; DISEASES; GRADING; MEDICAL IMAGING;

CELL DIVISIONS; CLASSIFICATION PERFORMANCE; DETECTION ACCURACY; GRADING PROCESS; INTRA-CLASS VARIATION; MITOTIC ACTIVITY; MITOTIC CELLS; VISUAL APPEARANCE;

CELLS;

BREAST TUMOR; FEMALE; HUMAN; IMAGE PROCESSING; MITOSIS; PATHOLOGY;

BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MITOSIS;

EID: 84926416523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944345     Document Type: Conference Paper

References (25)

1. W. health Organisation (WHO), "Breast cancer: prevention and control." http://www.who.int/cancer/detection/breastcancer/en/, 2014. [Online; accessed 7-April-2014].
2. C. Elston and I. Ellis, "Pathological prognostic factors in breast cancer. I. the value of histological grade in breast cancer: experience from a large study with long-term follow-up," Histopathology, Vol. 19, no. 5, pp. 403-410, 1991.
3. F. Clayton, "Pathologic correlates of survival in 378 lymph nodenegative infiltrating ductal breast carcinomas. Mitotic count is the best single predictor," Cancer, Vol. 68, no. 6, pp. 1309-1317, 1991.
4. A. M. Khan, H. El Daly, and R. N. M, "A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images," Journal of Pathology Informatics, Vol. 4, no. 11, 2013.
5. D. C. Cireşan, A. Giusti, L. M. Gambardella, and J. Schmidhuber, "Mitosis detection in breast cancer histology images with deep neural networks," in Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 411-418, Springer, 2013.
6. H. Irshad, "Automated mitosis detection in histopathology using morphological and multi-channel statistics features," Journal of Pathology Informatics, Vol. 4, 2013.
7. M. Veta, P. van Diest, and J. Pluim, "Detecting mitotic figures in breast cancer histopathology images," in SPIE Medical Imaging, Vol. 867607, International Society for Optics and Photonics, 2013.
8. A. Tashk, M. S. Helfroush, H. Danyali, and M. Akbarzadeh, "An automatic mitosis detection method for breast cancer histopathology slide images based on objective and pixel-wise textural features classification," in 5th International Conference on Information and Knowledge Technology (IKT), pp. 406-410, IEEE, 2013.
9. C. D. Malon and E. Cosatto, "Classification of mitotic figures with convolutional neural networks and seeded blob features," Journal of Pathology Informatics, Vol. 4, 2013.
10. M. Veta, P. J. V. Diest, S. M. Willems, H. Wang, A. Madabhushi, A. Cruz-Roa, F. Gonzalez, A. B. L. Larsen, J. S. Vestergaard, A. B. Dahl, D. C. Cirean, J. Schmidhuber, A. Giusti, L. M. Gambardella, F. B. Tek, T. Walter, C.-W. Wang, S. Kondo, B. J. Matuszewski, F. Precioso, V. Snell, J. Kittler, T. E. de Campos, A. M. Khan, N. M. Rajpoot, E. Arkoumani, M. M. Lacle, M. A. Viergever, and J. P. Pluim, "Assessment of algorithms for mitosis detection in breast cancer histopathology images," submitted to Medical Image Analysis, 2014.
11. A. M. Khan, N. Rajpoot, D. Treanor, and D. Magee, "A non-linear mapping approach to stain normalisation in digital histopathology images using image-specific colour deconvolution," IEEE Transactions on Biomedical Engineering, Vol. 61, no. 6, pp. 1729-1738, 2014.
12. A. M. Khan, H. El-Daly, E. Simmons, and N. M. Rajpoot, "HyMaP: A hybrid magnitude-phase approach to unsupervised segmentation of tumor areas in breast cancer histology images," Journal of Pathology Informatics, Vol. 4 (Suppl), 2013.
13. A. M. Khan, K. Sirinukunwattana, and N. Rajpoot, "Cell words: Modelling the visual appearance of cells in histopathology images," Computerized Medical Imaging and Graphics, 2014.
14. S. Sanei and T. Lee, "Bayesian classification of eigencells," in International Conference on Image Processing (ICIP), Vol. 2, pp. 929-932, IEEE, 2002.
15. L. Roux, D. Racoceanu, N. Loménie, M. Kulikova, H. Irshad, J. Klossa, F. Capron, C. Genestie, G. Le Naour, and M. Gurcan, "Mitosis detection in breast cancer histological images," Journal of Pathology Informatics, Vol. 4, no. 8, 2013.
16. H. Chang, L. A. Loss, P. T. Spellman, A. Borowsky, and B. Parvin, "Batch-invariant nuclear segmentation in whole mount histology sections," in 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 856-859, IEEE, 2012.
17. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, "Visual categorization with bags of keypoints," in ECCV Workshop on Statistical Learning in Computer Vision, Vol. 1, pp. 1-2, 2004.
18. F. Jurie and B. Triggs, "Creating efficient codebooks for visual recognition," in 10th IEEE International Conference on Computer Vision (ICCV), Vol. 1, pp. 604-610, IEEE, 2005.
19. S. Lazebnik and M. Raginsky, "Supervised learning of quantizer codebooks by information loss minimization," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, no. 7, pp. 1294-1309, 2009.
20. E. Bingham and H. Mannila, "Random projection in dimensionality reduction: applications to image and text data," in 7th International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 245-250, ACM, 2001.
21. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, no. 2, pp. 210-227, 2009.
22. A. M. Khan, H. El-Daly, and N. Rajpoot, "RanPEC: Random projections with ensemble clustering for segmentation of tumor areas in breast histology images," in Medical Image Understanding and Analysis (MIUA), pp. 17-23, 2012.
23. G. Tsagkatakis and A. Savakis, "A random projections model for object tracking under variable pose and multi-camera views," in 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), pp. 1-7, IEEE, 2009.
24. A. M. Khan, K. Sirinukunwattana, and N. Rajpoot, "Geodesic geometric mean of regional covariance descriptors as an image-level descriptor for nuclear atypia grading in breast histology images," 2014. Submitted.
25. A. M. Khan, A. F. Mohammed, S. A. Al-Hajri, H. M. A. Shamari, U. Qidwai, I. Mujeeb, and N. M. Rajpoot, "A novel system for scoring of hormone receptors in breast cancer histopathology slides," in 2nd Middle East Conference on Biomedical Engineering (MECBME), pp. 155-158, IEEE, 2014.