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Volumn 14, Issue , 2014, Pages

Enhanced random forest for mitosis detection

Author keywords

Breast cancer grading; Forest Penalty; Random forest; Tree penalty; Weighted voting

Indexed keywords

COMPUTER VISION; DECISION TREES; DISEASES; FORESTRY; GRADING; IMAGE PROCESSING; POPULATION STATISTICS;

EID: 84955307214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2683483.2683569     Document Type: Conference Paper
Times cited : (7)

References (28)
  • 1
    • 84955281254 scopus 로고    scopus 로고
    • Available as on 20.07.2014
    • http://www.biology.arizona.edu. Available as on 20.07.2014.
  • 2
    • 84955261431 scopus 로고    scopus 로고
    • Available as on 20.07.2014
    • http://mitos-atypia-14.grand-challenge.org/dataset/. Available as on 20.07.2014.
  • 3
    • 84955316107 scopus 로고    scopus 로고
    • Available as on 20.07.2014
    • http://amida13.isi.uu.nl/?q=node/62. Available as on 20.07.2014.
  • 5
    • 77950245872 scopus 로고    scopus 로고
    • Improved automatic detection and segmentation of cell nuclei in histopathology images
    • Y. Al-Kofahi et al. Improved automatic detection and segmentation of cell nuclei in histopathology images. Biomedical Engineering, IEEE Transactions on, 57(4):841-852, 2010.
    • (2010) Biomedical Engineering IEEE Transactions on , vol.57 , Issue.4 , pp. 841-852
    • Al-Kofahi, Y.1
  • 6
    • 0017401540 scopus 로고
    • Changes in chromatin structure during the mitotic cycle
    • P. Barlow. Changes in chromatin structure during the mitotic cycle. Protoplasma, 91(2):207-211, 1977.
    • (1977) Protoplasma , vol.91 , Issue.2 , pp. 207-211
    • Barlow, P.1
  • 7
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 9
    • 84885899176 scopus 로고    scopus 로고
    • Mitosis detection in breast cancer histology images with deep neural networks
    • Springer
    • D. C. Cireşan et al. Mitosis detection in breast cancer histology images with deep neural networks. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013, pages 411-418. Springer, 2013.
    • (2013) Medical Image Computing and Computer-Assisted Intervention-MICCAI , vol.2013 , pp. 411-418
    • Cireşan, D.C.1
  • 11
  • 12
    • 0028890628 scopus 로고
    • Interobserver reproducibility of the nottingham modification of the bloom and richardson histologic grading scheme for infiltrating ductal carcinoma
    • H. F. Frierson Jr et al. Interobserver reproducibility of the nottingham modification of the bloom and richardson histologic grading scheme for infiltrating ductal carcinoma. American journal of clinical pathology, 103(2):195-198, 1995.
    • (1995) American Journal of Clinical Pathology , vol.103 , Issue.2 , pp. 195-198
    • Frierson, H.F.1
  • 13
    • 0031948563 scopus 로고    scopus 로고
    • Comparison of the prognostic value of scarff-bloom-richardson and nottingham histological grades in a series of 825 cases of breast cancer: Major importance of the mitotic count as a component of both grading systems
    • C. Genestie et al. Comparison of the prognostic value of scarff-bloom-richardson and nottingham histological grades in a series of 825 cases of breast cancer: major importance of the mitotic count as a component of both grading systems. Anticancer research, 18(1B):571-576, 1997.
    • (1997) Anticancer Research , vol.18 , Issue.1 B , pp. 571-576
    • Genestie, C.1
  • 14
    • 77956339402 scopus 로고    scopus 로고
    • Cellcognition: Time-resolved phenotype annotation in high-throughput live cell imaging
    • M. Held et al. Cellcognition: time-resolved phenotype annotation in high-throughput live cell imaging. Nature methods, 7(9):747-754, 2010.
    • (2010) Nature Methods , vol.7 , Issue.9 , pp. 747-754
    • Held, M.1
  • 15
    • 84885944291 scopus 로고    scopus 로고
    • Automated mitosis detection in histopathology using morphological and multi-channel statistics features
    • H. Irshad. Automated mitosis detection in histopathology using morphological and multi-channel statistics features. J. of pathology informatics, 4, 2013.
    • (2013) J. of Pathology Informatics , vol.4
    • Irshad, H.1
  • 16
    • 84899695934 scopus 로고    scopus 로고
    • Automated mitosis detection using texture, sift features and hmax biologically inspired approach
    • H. Irshad et al. Automated mitosis detection using texture, sift features and hmax biologically inspired approach. J. of pathology informatics, 4(Suppl), 2013.
    • (2013) J. of Pathology Informatics , vol.4
    • Irshad, H.1
  • 17
    • 0022266928 scopus 로고
    • A new method for gray-level picture thresholding using the entropy of the histogram
    • J. Kapur, P. K. Sahoo, and A. K. Wong. A new method for gray-level picture thresholding using the entropy of the histogram. Computer vision, graphics, and image processing, 29(3):273-285, 1985.
    • (1985) Computer Vision, Graphics, and Image Processing , vol.29 , Issue.3 , pp. 273-285
    • Kapur, J.1    Sahoo, P.K.2    Wong, A.K.3
  • 18
    • 34548299771 scopus 로고    scopus 로고
    • A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3d confocal microscope images
    • G. Lin et al. A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3d confocal microscope images. Cytometry Part A, 71(9):724-736, 2007.
    • (2007) Cytometry Part A , vol.71 , Issue.9 , pp. 724-736
    • Lin, G.1
  • 19
    • 1942532718 scopus 로고    scopus 로고
    • Level set analysis for leukocyte detection and tracking
    • D. P. Mukherjee et al. Level set analysis for leukocyte detection and tracking. Image Processing, IEEE Transactions on, 13(4):562-572, 2004.
    • (2004) Image Processing IEEE Transactions on , vol.13 , Issue.4 , pp. 562-572
    • Mukherjee, D.P.1
  • 21
    • 0030126313 scopus 로고    scopus 로고
    • On minimum cross-entropy thresholding
    • N. R. Pal. On minimum cross-entropy thresholding. Pattern Recognition, 29(4):575-580, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.4 , pp. 575-580
    • Pal, N.R.1
  • 22
    • 67349252469 scopus 로고    scopus 로고
    • An evaluation metric for image segmentation of multiple objects
    • M. Polak, H. Zhang, and M. Pi. An evaluation metric for image segmentation of multiple objects. Image and Vision Computing, 27(8):1223-1227, 2009.
    • (2009) Image and Vision Computing , vol.27 , Issue.8 , pp. 1223-1227
    • Polak, M.1    Zhang, H.2    Pi, M.3
  • 23
    • 80052317448 scopus 로고    scopus 로고
    • Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization
    • V. Roullier et al. Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization. Computerized Medical Imaging and Graphics, 35(7):603-615, 2011.
    • (2011) Computerized Medical Imaging and Graphics , vol.35 , Issue.7 , pp. 603-615
    • Roullier, V.1
  • 26
    • 84885927054 scopus 로고    scopus 로고
    • Mitosis detection using generic features and an ensemble of cascade adaboosts
    • F. B. Tek. Mitosis detection using generic features and an ensemble of cascade adaboosts. Journal of pathology informatics, 4, 2013.
    • (2013) Journal of Pathology Informatics , vol.4
    • Tek, F.B.1
  • 27
    • 84899672105 scopus 로고    scopus 로고
    • Breast cancer histopathology image analysis: A review
    • M. Veta et al. Breast cancer histopathology image analysis: a review. IEEE transactions on bio-medical engineering, 61(5):1400-1411, 2014.
    • (2014) IEEE Transactions on Bio-medical Engineering , vol.61 , Issue.5 , pp. 1400-1411
    • Veta, M.1
  • 28
    • 33751510756 scopus 로고    scopus 로고
    • Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and kalman filter in time-lapse microscopy
    • X. Yang et al. Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and kalman filter in time-lapse microscopy. Circuits and Systems I: Regular Papers, IEEE Transactions on, 53(11):2405-2414, 2006.
    • (2006) Circuits and Systems I: Regular Papers, IEEE Transactions on , vol.53 , Issue.11 , pp. 2405-2414
    • Yang, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.