Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 618-621

  Veta, M ^a   Huisman, A ^b   Viergever, M A ^a   Van Diest, P J ^b   Pluim, J P W ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

breast cancer; histology images; Marker controlled watershed; nuclei segmentation

Indexed keywords

AUTOMATIC METHOD; BREAST CANCER; FAST RADIAL SYMMETRY TRANSFORM; HISTOLOGY IMAGES; MARKER-CONTROLLED WATERSHED; MARKER-CONTROLLED WATERSHED SEGMENTATION; MORPHOLOGICAL OPERATIONS; NUCLEI SEGMENTATION; POST-PROCESSING STAGES; PREPROCESS; SEGMENTATION ACCURACY;

ALGORITHMS; BIOPSY; DISEASES; FACE RECOGNITION; MATHEMATICAL MORPHOLOGY; MEDICAL IMAGING; TISSUE; WATERSHEDS;

LANDFORMS;

EID: 80055035411     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872483     Document Type: Conference Paper

References (11)

1. C.W. Elston and I.O. 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.
2. P. Robbins et al., "Histological grading of breast carcinomas: a study of interobserver agreement," Human Pathology, vol. 26, no. 8, pp. 873-879, 1995.
3. S. Naik et al., "Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology," in IEEE International Symposium on Biomedical Imaging (ISBI), 2008, pp. 284-287.
4. H. Fatakdawala et al., "Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): Application to lymphocyte segmentation on breast cancer histopathology," IEEE Transactions on Biomedical Engineering, vol. 57, no. 7, pp. 1676-1689, 2010.
5. E. Cosatto et al., "Grading nuclear pleomorphism on histo-logical micrographs," in International Conference on Pattern Recognition (ICPR), 2008, pp. 1-4.
6. P.W. Huang and Y.H. La, "Effective segmentation and classification for HCC biopsy images," Pattern Recognition, vol. 43, no. 4, pp. 1550-1563, 2010.
7. G. Loy and A. Zelinsky, "Fast radial symmetry for detecting points of interest," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 8, pp. 959-973, 2003.
8. O. Schmitt and M. Hasse, "Radial symmetries based decomposition of cell clusters in binary and gray level images," Pattern Recognition, vol. 41, no. 6, pp. 1905-1923, 2008.
9. A. Hafiane et al., "Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation," in International Conference on Pattern Recognition (ICPR), 2008.
10. A. Huisman et al., "Creation of a fully digital pathology slide archive by high-volume tissue slide scanning," Human Pathology, vol. 41, no. 5, pp. 751-757, 2010.
11. A.C. Ruifrok and D.A. Johnston, "Quantification of histo-chemical staining by color deconvolution.," Analytical and quantitative cytology and histology, vol. 23, no. 4, pp. 291-299, 2001.