The Library
Histopathological image analysis : a review
Tools
Gurcan, Metin N., Boucheron, Laura E., Can, Ali, Madabhushi, Anant, Rajpoot, Nasir M. and Yener, Bülent (2009) Histopathological image analysis : a review. IEEE Reviews in Biomedical Engineering, Vol.2 . pp. 147-171. doi:10.1109/RBME.2009.2034865 ISSN 1937-3333.
PDF
WRAP_Rajpoot_Histopathological_Image.pdf - Requires a PDF viewer. Download (3486Kb) |
Official URL: http://dx.doi.org/10.1109/RBME.2009.2034865
Abstract
Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement the opinion of the pathologist. In this paper, we review the recent state of the art CAD technology for digitized histopathology. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RB Pathology |
||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Histology, Pathological, Image processing -- Digital techniques, Medical innovations, Diagnosis -- Data processing | ||||
Journal or Publication Title: | IEEE Reviews in Biomedical Engineering | ||||
Publisher: | IEEE | ||||
ISSN: | 1937-3333 | ||||
Official Date: | 30 October 2009 | ||||
Dates: |
|
||||
Volume: | Vol.2 | ||||
Page Range: | pp. 147-171 | ||||
DOI: | 10.1109/RBME.2009.2034865 | ||||
Status: | Peer Reviewed | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Funder: | National Cancer Institute (U.S.) (NCI), National Library of Medicine (U.S.) (NLM), American Cancer Society, Children's Neuroblastoma Cancer Foundation, Wallace H. Coulter Foundation, New Jersey Commission on Cancer Research, Cancer Institute of New Jersey, Rutgers University, Ohio State University. Center for Clinical and Translational Science, United States. Dept. of Defense (DoD) | ||||
Grant number: | R01 CA134451 (NCI), R01CA136535-01 (NCI), ARRA-NCl-3 21CA127186–02S1 (NCI), R21CA127186–01 (NCI), R03CA128081-01 (NCI), and R03CA143991-01 (NCI), R01 LM010119 (NLM), W81XWH-07-1-0402 (DoD) |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year