Output details
11 - Computer Science and Informatics
Queen's University Belfast
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Output 0 of 0 in the submission
Article title
Assisted Diagnosis of Cervical Intraepithelial Neoplasia (CIN)
Type
D - Journal article
Title of journal
IEEE Journal of Selected Topics in Signal Processing, Special Issue on Digital Image Processing Techniques for Oncology
Article number
-
Volume number
3
Issue number
1
First page of article
112
ISSN of journal
1932-4553
Year of publication
2009
URL
-
Number of additional authors
5
Additional information
<23>This paper is the first study to bring the combined use of machine learning and the processing of ultra-large images to bear on the problem of diagnosing and grading CIN. The research involved several practicing pathologists from two continents, as well as image processing researchers from ECIT. The results have led to a collaboration with a team from NIH (Communications Engineering Branch, the US National Library of Medicine), with visits from NIH staff and sharing of data and techniques. A start-up company involving several of the authors, PathXL, is currently commercialising the research.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Speech, Image and Vision Systems (SIVS)
Citation count
14
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
