NDLI: Automatic Diagnosis Support System Using Nuclear and Luminal Features

Content Provider	IEEE Xplore Digital Library
Author	Harai, Y. Tanaka, T.
Copyright Year	2015
Description	Author affiliation: Grad. Sch. of Fundamental Sci. & Technol., Keio Univ., Yokohama, Japan (Harai, Y.; Tanaka, T.)
Abstract	We present a method of automatic colorectal cancer diagnosis that can quantify cellular and structural tissue information. In this paper, we consider sixteen-dimensional features, consisting of the nuclei-cytoplasm (NC) ratio, connected nuclei area, and atypical lumen ratio. For the purpose of imitating the conditions of accurate medical diagnosing, we introduce a four-class classification for group 1, group 3 low, group 3 high, and group 5 biopsies (group 5 biopsies include well-, moderately, and poorly differentiated) in contrast to most previous works proposed in the literature, which classify biopsies into two or three classes. The image set used in this paper consists of 400 images stained from 123 patients by hematoxylin and eosin (the HE method). We compared the performance of the proposed method with a method using texture features that have been widely used in previous studies. Two classification tests were performed, leave-one-ROI-out cross-validation (CV) and leave-one-specimen-out CV. As a result, the proposed method obtained a classification accuracy of 95.0% for ROI-based CV and 78.3% for specimen-based CV.
Starting Page	1
Ending Page	8
File Size	1754550
Page Count	8
File Format	PDF
e-ISBN	9781467367950
DOI	10.1109/DICTA.2015.7371235
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image segmentation Shape Glands Feature extraction Colon Cancer
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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