NDLI: Registration of multiple stained histological sections

Content Provider	IEEE Xplore Digital Library
Author	Borovec, J. Kybic, J. Busta, M. Ortiz-de-Solorzano, C. Munoz-Barrutia, A.
Copyright Year	2013
Description	Author affiliation: Center for Appl. Med. Res., Univ. of Navarra, Pamplona, Spain (Ortiz-de-Solorzano, C.; Munoz-Barrutia, A.) \|\| Czech Tech. Univ. in Prague, Prague, Czech Republic (Borovec, J.; Kybic, J.; Busta, M.)
Abstract	The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering sets of histological images, a challenging task due to their large size, the non-linear distortions existing between consecutive sections and to the fact that the images correspond to different histological stains and thus, may have very different appearance. In this manuscript, we present a novel segmentation-based registration algorithm that exploits a multi-class pyramid and optimizes a fuzzy class assignment specially designed for this task. Compared to a standard nonrigid registration, the proposed method achieves an improved matching on both synthetic as well as real histological images of cancer lesions.
Sponsorship	IEEE
Starting Page	1034
Ending Page	1037
File Size	1539508
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Lesions Measurement Cancer Lungs Merging Optimization lung cancer Non-rigid registration superpixel multiclass matching light microscopy images
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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