Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: Evaluating experts, automated methods, and the crowd

Pacific Symposium on Biocomputing

Volumn , Issue , 2015, Pages 294-305

  Irshad, H ^a   Montaser Kouhsari, L ^a   Waltz, G ^a   Bucur, O ^a   Nowak, J A ^a   Dong, F ^a   Knoblauch, N W ^a   Beck, A H ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Annotation; Computational Pathology; Crowdsourcing; Digital Pathology; Histopathology; Nuclei Detection; Nuclei Segmentation

Indexed keywords

AUTOMATION; BIOINFORMATICS; CROWDSOURCING; DIAGNOSIS; IMAGE ANNOTATION; IMAGE SEGMENTATION; PATHOLOGY; PIXELS; QUALITY CONTROL;

ANNOTATION; DIGITAL PATHOLOGIES; HISTOPATHOLOGY; NUCLEI DETECTIONS; NUCLEI SEGMENTATION;

MEDICAL IMAGE PROCESSING;

ALGORITHM; BIOLOGY; CARCINOMA, RENAL CELL; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; CROWDSOURCING; EVALUATION STUDY; EXPERT WITNESS; FACTUAL DATABASE; HUMAN; INFORMATION PROCESSING; KIDNEY NEOPLASMS; NEOPLASMS; PATHOLOGY; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; CARCINOMA, RENAL CELL; CELL NUCLEUS; COMPUTATIONAL BIOLOGY; CROWDSOURCING; DATA CURATION; DATABASES, FACTUAL; EXPERT TESTIMONY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KIDNEY NEOPLASMS; NEOPLASMS; PATHOLOGY, CLINICAL;

EID: 84971247625     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (15)

1. M. N. Gurcan, L. E. Boucheron, A. Can, A. Madabhushi, N. M. Rajpoot and B. Yener, Biomedical Engineering, IEEE Reviews in 2, 147 (2009).
2. A. Dawson, R. Austin Jr and D.Weinberg, American journal of clinical pathology 95, S29 (1991).
3. A. H. Beck, A. R. Sangoi, S. Leung, R. J. Marinelli, T. O. Nielsen, M. J. van de Vijver, R. B. West, M. van de Rijn and D. Koller, Science translational medicine 3, 108-113 (2011).
4. H. Irshad, A. Veillard, L. Roux and D. Racoceanu, Biomedical Engineering, IEEE Reviews in 7, 97 (2014).
5. F. Ghaznavi, A. Evans, A. Madabhushi and M. Feldman, Annual Review of Pathology: Mecha-nisms of Disease 8, 331 (2013).
6. B. M. Good and A. I. Su, Bioinformatics , p. btt333 (2013).
7. C. J. Lintott, K. Schawinski, A. Slosar, K. Land, S. Bamford, D. Thomas, M. J. Raddick, R. C. Nichol, A. Szalay, D. Andreescu et al., Monthly Notices of the Royal Astronomical Society 389, 1179 (2008).
8. J. S. Kim, M. J. Greene, A. Zlateski, K. Lee, M. Richardson, S. C. Turaga, M. Purcaro, M. Balkam, A. Robinson, B. F. Behabadi et al., Nature 509, 331 (2014).
9. S. C. Warby, S. L. Wendt, P. Welinder, E. G. Munk, O. Carrillo, H. B. Sorensen, P. Jennum, P. E. Peppard, P. Perona and E. Mignot, Nature methods 11, 385 (2014).
10. S. Mavandadi, S. Dimitrov, S. Feng, F. Yu, U. Sikora, O. Yaglidere, S. Padmanabhan, K. Nielsen and A. Ozcan, PLoS One 7, p. e37245 (2012).
11. M. A. Luengo-Oroz, A. Arranz and J. Frean, Journal of medical Internet research 14 (2012).
12. C. G. A. R. Network et al., Nature 499, 43 (2013).
13. J. Kong, L. A. Cooper, F. Wang, D. A. Gutman, J. Gao, C. Chisolm, A. Sharma, T. Pan, E. G. Van Meir, T. M. Kurc et al., Biomedical Engineering, IEEE Transactions on 58, 3469 (2011).
14. H. Chang, G. V. Fontenay, J. Han, G. Cong, F. L. Baehner, J. W. Gray, P. T. Spellman and B. Parvin, BMC bioinformatics 12, p. 484 (2011).
15. S. D. Cataldo, E. Ficarra, A. Acquaviva and E. Macii, Computer Methods and Programs in Biomedicine 100, 1 (2010).