Crypts detection in microscopic images using hierarchical structures

Pattern Recognition Letters

Volumn 34, Issue 8, 2013, Pages 934-941

  Smochina, Cristian ^a   Manta, Vasile ^a   Kropatsch, Walter ^b  

^a GHEORGHE ASACHI TECHNICAL UNIVERSITY OF IASI   (Romania)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Biomedical imaging; Crypt segmentation; Microscopy; Morphological hierarchy; Morphological pyramid; Pathology

Indexed keywords

MEDICAL IMAGING; MICROSCOPIC EXAMINATION; PATHOLOGY;

AUTOMATIC TECHNIQUE; BIOMEDICAL IMAGING; COLON TISSUES; HIERARCHICAL STRUCTURES; MICROSCOPIC IMAGE; MORPHOLOGICAL HIERARCHY; MORPHOLOGICAL PYRAMIDS;

COMPUTATIONAL EFFICIENCY;

EID: 84893695489     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2012.11.008     Document Type: Article

References (20)

1. Breu, H., Gil, J., Kirkpatrick, D., Werman, M., 1995. Linear time Euclidean distance transform algorithms. IEEE Trans. Pattern Anal Machine Intell. 17 (5), 529-533.
2. Chen, C.H., Lee, G.G., 1997. Image segmentation using multiresolution wavelet analysis and expectation-maximization (EM) algorithm for digital mammography. Internat. J. Imaging Systems Technol. 8 (5), 491-504. (Pubitemid 127549487)
3. Farjam, R., Soltanian-Zadeh, H., Jafari-Khouzani, K., Zoroofi, R.A., 2007. An image analysis approach for automatic malignancy determination of prostate pathological images. Clin. Cytometry 72B (4), 227-240. (Pubitemid 46986451)
4. Gonzalez, R.C., Woods, R.E., Digital Image Processing, third ed., Reading, Massachusetts, Addison-Wesley, 1992.
5. Gunduz-Demir, C, Kandemir, M., Tosun, A.B., Sokmensuer, C, 2010. Automatic segmentation of colon glands using object-graphs. Med. Image Anal. 14 (1), 1-12.
6. Haralick, RM., Zhuang, X., Lin, C, Lee, J.S.J., 1989. The digital morphological sampling theorem. IEEE Trans. Acoust. Speech Signal Process. 37, 2067-2090.
7. Humphries, A., Wright, N.A., 2008. Colonic crypt organization and tumorigenesis: human colonic crypts. Nat. Rev. Cancer 8 (6), 415-424. (Pubitemid 351744961)
8. Kropatsch, W.G., Haxhimusa, Y., Pizlo, Z., Langs, G., 2005. Vision pyramids that do not grow too high. Pattern Recognition Lett. 26 (3), 319-337. (Pubitemid 40120814)
9. Kropatsch, W.G., Haxhimusa, Y., Ion, A., 2007. Multiresolution image segmentations in graph pyramids. In: Kandel, A., Bunke, H., Last, M. (Eds.), Applied Graph Theory in Computer Vision and Pattern Recognition. Springer, Wien, New York, pp. 3-41, 52.
10. Meine, H., Köthe, U., Stelldinger, P., 2009. A topological sampling theorem for robust boundary reconstruction and image segmentation. Discrete Appl. Math. 157 (3), 524-541.
11. Morikawa, K., Yanagida, J., Visualization of Individual DNA Molecules in Solution by Light Microscopy: DAPI Staining Method, Vol. 89, Japanese Biochemical Society, Tokyo, 2, 1981, pp. 693-696.
12. Naik, S., Doyle, S., Feldman, M., Tomaszewski, J., Madabhushi, A., Gland segmentation and computerized Gleason grading of prostate histology by integrating low-, high-level and domain specific information. In: 2nd MICCAI Workshop Microscopic Image Analysis with Appl. in Biology, Piscataway, NJ, USA, 2007.
13. Nattkemper, T.W., 2005. Automatic segmentation of digital micrographs: a survey. J. Studies Health Technol. Inf. 107 (2), 847-852.
14. Otsu, N., 1979. A threshold selection method from gray-level histograms. IEEE Trans. Systems Man Cybernet. 9 (1), 62-66. (Pubitemid 9413341)
15. Roshni, V.S., Raju, G., 2011. Image segmentation using multiresolution texture gradient and watershed algorithm. Internat. J. Comput. Appl. 22 (5), 21-28.
16. Smochina, C, Manta, V., Kropatsch, W.G., Sampling step importance in hierarchical semantic segmentation of microscopic images. In: Proc. 15th Internat. Conf. on System Theory and, Control, 2011, pp. 570.
17. Smochina, C, Manta, V., Kropatsch, W.G., Semantic segmentation of microscopic images using a morphological hierarchy. In: 14th Internat. Conf. on Computer Analysis of Images and Patterns, 2011, pp. 102-109.
18. Ta, V.T., Lezoray, O., El Moataz, A, Schupp, S., 2009. Graph-based tools for microscopic cellular image segmentation. Pattern Recognition 42 (6), 1113-1125.
19. Tolba, M.F., Mostafa, M.G., Gharib, T.F., Salem, M.A., 2003. MR-brain image segmentation using Gaussian multiresolution analysis and the EM algorithm. Proc. ICEIS 2, 165-170.
20. Wu, H.S., Xu, R., Harpaz, N., Burstein, D., Gil, J., 2005. Segmentation of intestinal gland images with iterative region growing. J. Microsc. 220 (3), 190-204. (Pubitemid 43029970)