NDLI: Melanoma screening system using hyperspectral imager attached to imaging fiberscope

Content Provider	IEEE Xplore Digital Library
Author	Nagaoka, T. Nakamura, A. Kiyohara, Y. Sota, T.
Copyright Year	2012
Description	Author affiliation: Waseda Res. Inst. for Sci. & Eng., Waseda Univ., Tokyo, Japan (Nagaoka, T.; Nakamura, A.) \|\| Dept. of Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan (Sota, T.) \|\| Dermatology Div., Shizuoka Cancer Center, Nagaizumi, Japan (Kiyohara, Y.)
Abstract	Early detection and proper excision of the primary lesions of melanoma are crucial for reducing melanoma-related deaths. In order to support the early detection of melanoma, melanoma screening systems have been extensively studied and developed. Recently we have proposed a melanoma discrimination index derived from hyperspectral data (HSD) in the visible-near infrared wavelength region. The index represents variegation in spectra over a lesion and works well in discriminating melanoma from other pigmented lesions. However the previous hyperspectral imager did not have an enough allowance for measurement of lesions. To overcome the problem with it, we have developed a hyperspectral imager attached to imaging fiberscope. This equipment has been able to accumulate HSD in a view field of φ40 mm within about 10 seconds, from which the above-mentioned melanoma discrimination index has been calculated. Performance of the system has been studied in nine cases of melanoma and 18 cases of non-melanoma, obtained from patients and volunteers, all of whom were Japanese. The index has achieved a sensitivity of 100% and a specificity of 94.4%.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3728
Ending Page	3731
File Size	592148
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Malignant tumors Indexes Lesions Cancer Hyperspectral imaging Imaging Skin
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

Functional Infrared Imaging for Skin-Cancer Screening

Combined approach for the biomechanical characterization of skin lesions

Symbolic learning supporting early diagnosis of melanoma

Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs

Classification of melanocytic skin lesions from non-melanocytic lesions

Automated colour identification in melanocytic lesions

Automatic learning of spatial patterns for diagnosis of skin lesions

Multispectral optical imaging of skin-lesions for detection of malignant melanomas

A clinically oriented system for melanoma diagnosis using a color representation

Melanoma screening system using hyperspectral imager attached to imaging fiberscope

Similar Documents

Functional Infrared Imaging for Skin-Cancer Screening

Combined approach for the biomechanical characterization of skin lesions

Symbolic learning supporting early diagnosis of melanoma

Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs

Classification of melanocytic skin lesions from non-melanocytic lesions

Automated colour identification in melanocytic lesions

Automatic learning of spatial patterns for diagnosis of skin lesions

Multispectral optical imaging of skin-lesions for detection of malignant melanomas

A clinically oriented system for melanoma diagnosis using a color representation

Melanoma screening system using hyperspectral imager attached to imaging fiberscope