NDLI: Lesion detection in dermoscopy images using Sarsa Reinforcement algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ebrahimi, S.M.S. Pourghassem, H. Ashourian, M.
Copyright Year	2010
Description	Author affiliation: Department of Electrical engineering, Islamic Azad University, shahr-e-majlesi Branch, Iran (Ashourian, M.) \|\| Department of Electrical engineering, Islamic Azad University-Najafabad Branch, Isfahan-Iran (Ebrahimi, S.M.S.; Pourghassem, H.)
Abstract	Dermoscopy is one of the major imaging techniques used in diagnoses of Melanoma and other skin diseases. Because of difficulties and subjectivity of human interpretation, automatic and computerized analysis of dermoscopic images has opened an important research area. Skin lesion detection is as the first step in this analysis. Finding an optimal threshold for segmenting the lesion is a severe task in image processing. Different methods for thresholding already exist. In this work, we use a combination of well-known thresholding methods and fuse them by Sarsa Reinforcement algorithm which leads to a reinforced threshold. The reinforced agent learns optimal weights for different thresholding methods and finally segments the dermoscopic image with optimal threshold. A reward function is designed for achieving the similarity ratio between the binary output image and original gray level image and calculating reward/punish signal which should be exerted to reinforced agent. We use three thresholding methods for combination in the reinforced agent and the detected lesions are compared with the ground-truth which is determined by three different dermatologists.
Starting Page	1
Ending Page	4
File Size	841077
Page Count	4
File Format	PDF
ISBN	9781424474837
e-ISBN	9781424474844
DOI	10.1109/ICBME.2010.5704964
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-03
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Malignant tumors Thresholding Melanoma Reinforcement Dermoscopy Detection Biomedical imaging 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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