NDLI: Computer aided analysis of epi-illumination and transillumination images of skin lesions for diagnosis of skin cancers

Content Provider	IEEE Xplore Digital Library
Author	D'Alessandro, B. Dhawan, A.P. Mullani, N.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA (D'Alessandro, B.; Dhawan, A.P.) \|\| Translite LLC, Sugarland, TX (Mullani, N.)
Abstract	Skin lesion pigmentation area from surface, or, epi-illumination (ELM) images and blood volume area from transillumination (TLM) images are useful features to aid a dermatologist in the diagnosis of melanoma and other skin cancers in early curable stages. However, segmentation of these areas is difficult. In this work, we present an automatic segmentation tool for ELM and TLM images that also provides additional choices for user selection and interaction with adaptive learning. Our tool uses a combination of k-means clustering, wavelet analysis, and morphological operations to segment the lesion and blood volume, and then presents the user with six segmentation suggestions for both ELM and TLM images. The final selection of segmentation boundary may then be iteratively improved through scoring by multiple users. The ratio of TLM to ELM segmented areas is an indicator of dysplasia in skin lesions for detection of skin cancers, and this ratio is found to show a statistically significant trend in association with lesion dysplasia on a set of 81 pathologically validated lesions (p = 0.0058). We then present a support vector machine classifier using the results from the interactive segmentation method along with ratio, color, texture, and shape features to characterize skin lesions into three degrees of dysplasia with promising accuracy.
Starting Page	3434
Ending Page	3438
File Size	984363
Page Count	5
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090929
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Image segmentation Skin Image color analysis Blood Feature extraction Support vector machines
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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