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Proceedings Paper

Digital staining of pathological images: dye amount correction for improved classification performance
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Paper Abstract

Physical staining is indispensable in pathology. While physical staining uses chemicals, "digital staining" exploits the differing spectral characteristics of the different tissue components to simulate the effect of physical staining. Digital staining for pathological images involves two basic processes: classification of tissue components and digital colorization whereby the classified tissue components are impressed with colors associated to their reaction to specific dyes. Spectral features, i.e. spectral transmittance, of the different tissue structures are dependent on the staining condition of the tissue slide. Thus, if the staining condition of the test image is different, classification result is affected, and the resulting digitally-stained image may not reflect the desired result. This paper shows that it is possible to obtain robust classification results by correcting the dye amount of each test-image pixel using Beer Lambert's Law. Also the effectiveness of such technique to be incorporated to the current digital staining scheme is investigated as well.

Paper Details

Date Published: 30 March 2007
PDF: 10 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651433 (30 March 2007); doi: 10.1117/12.710446
Show Author Affiliations
Pinky A. Bautista, Tokyo Institute of Technology (Japan)
Tokiya Abe, Tokyo Institute of Technology (Japan)
Masahiro Yamaguchi, Tokyo Institute of Technology (Japan)
Yukako Yagi, Univ. of Pittsburgh (United States)
Nagaaki Ohyama, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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