A comparison of algorithms and humans for mitosis detection

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Volumn , Issue , 2014, Pages 1360-1363

  Giusti, Alessandro ^a   Caccia, Claudio ^b   Cireşan, Dan C ^a   Schmidhuber, Jürgen ^a   Gambardella, Luca M ^a  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Digital pathology; Histo logical image analysis; Pattern recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); MEDICAL IMAGING; SIGNAL DETECTION; STATISTICAL TESTS;

CLASSIFICATION CRITERION; CLASSIFICATION TASKS; DETECTION ALGORITHM; DIGITAL PATHOLOGIES; GENERALIZATION ABILITY; HISTOLOGY SLIDES; MITOSIS DETECTIONS; SCORING ALGORITHMS;

PATTERN RECOGNITION;

EID: 84927939729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6868130     Document Type: Conference Paper

References (18)

1. M. Gurcan et al., "Histopathological image analysis: A review," Biomedical Engineering, IEEE Reviews in, Vol. 2, pp. 147-171, 2009.
2. Z. Yin, R. Bise, M. Chen, and T. Kanade, "Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers," in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on. IEEE, 2010, pp. 125-128.
3. T. Fuchs, P. Wild, H. Moch, and J. Buhmann, "Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2008, pp. 1-8.
4. D. Ciresan, A. Giusti, L. Gambardella, and J. Schmidhuber, "Mitosis detection in breast cancer histology images with deep neural networks," in MICCAI, 2013, Vol. 2, pp. 411-418.
5. A. Khan, H. El-Daly, and N.M. Rajpoot, "A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images," in Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE, 2012, pp. 149-152.
6. A. Khan, H. ElDaly, and N. Rajpoot, "A gamma-gaussian mixture model for detection of mitotic cells in breast cancer histopathology images," Journal of Pathology Informatics, Vol. 4, no. 1, pp. 11, 2013.
7. M. Veta, P.J. van Diestb, and J.P.W. Pluim, "Detecting mitotic figures in breast cancer histopathology images," in Proc. of SPIE Medical Imaging, 2013.
8. C. Malon et al., "Mitotic figure recognition: Agreement among pathologists and computerized detector," Analytical Cellular Pathology, Vol. 35, no. 2, pp. 97-100, 2012.
9. F. Capron et al., "Mitosis detection in breast cancer histolog-ical images An ICPR 2012 contest," Journal of Pathology Informatics, Vol. 4, no. 1, pp. 8, 2013.
10. C. Sommer, L. Fiaschi, HCI Heidelberg, F.A. Hamprecht, and D.W. Gerlich, "Learning-based mitotic cell detection in histopathological images," in Proc. ICPR 2012, 2012.
11. C. Huang and K. Hwee, "Automated Mitosis Detection Based on Exclusive Independent Component Analysis," in Proc. ICPR 2012, 2012.
12. C. Genestie, "Mammary Pathology," 2011.
13. T. Kuopio and Y. Collan, "Mitotic count in breast cancer: the influence of training on performance," Pathology-Research and Practice, Vol. 192, no. 11, pp. 1095-1099, 1996.
14. J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel, "Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition," Neural Networks, 2012.
15. A. Giusti, D. Ciresan, J. Masci, L. Gambardella, and J. Schmidhuber, "Fast image scanning with deep max-pooling convolutional neural networks," in ICIP, 2013, p. in press.
16. D. Ciresan, A. Giusti, L., and J. Schmidhuber, "Neural networks for segmenting neuronal structures in em stacks," in Segmentation of Neuronal Structures in EM Stacks Workshop at International Symposium on Biomedical Imaging, 2012.
17. H. Irshad, "Automated mitosis detection in histopathology using morphological and multi-channel statistics features," Journal of Pathology Informatics, Vol. 4, no. 1, pp. 10, 2013.
18. C. Malon et al., "Classification of mitotic figures with convo-lutional neural networks and seeded blob features," Journal of Pathology Informatics, Vol. 4, no. 1, pp. 9, 2013.