The incidence of melanoma in the United States has been increasing dramatically over the past several years [1] with melanoma currently being the sixth most common cancer in the United States. At present, there are no systemic agents available that significantly extend the lifespan of patients with advanced disease and improved survival relies solely on early detection and adequate surgical management [2]. The need to improve the diagnostic accuracy and sensitivity for skin cancer while increasing biopsy efficiency yields to the implementation of imaging technologies in dermatology. Current in-vivo imaging tools in use including digital photography (total cutaneous imaging or imaging of individual lesions), and dermoscopy are highly subjective and without broadly applicable standards or quantitative criteria.
Skip Nav Destination
ASME 2010 Summer Bioengineering Conference
June 16–19, 2010
Naples, Florida, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
978-0-7918-4403-8
PROCEEDINGS PAPER
Detection of Skin Cancer Using Transient/Thermal Imaging
Müge Pirtini Çetingül,
Müge Pirtini Çetingül
Johns Hopkins University, Baltimore, MD
Search for other works by this author on:
Rhoda M. Alani,
Rhoda M. Alani
Boston University, Boston, MA
Search for other works by this author on:
Cila Herman
Cila Herman
Johns Hopkins University, Baltimore, MD
Search for other works by this author on:
Müge Pirtini Çetingül
Johns Hopkins University, Baltimore, MD
Rhoda M. Alani
Boston University, Boston, MA
Cila Herman
Johns Hopkins University, Baltimore, MD
Paper No:
SBC2010-19193, pp. 601-602; 2 pages
Published Online:
July 15, 2013
Citation
Çetingül, MP, Alani, RM, & Herman, C. "Detection of Skin Cancer Using Transient/Thermal Imaging." Proceedings of the ASME 2010 Summer Bioengineering Conference. ASME 2010 Summer Bioengineering Conference, Parts A and B. Naples, Florida, USA. June 16–19, 2010. pp. 601-602. ASME. https://doi.org/10.1115/SBC2010-19193
Download citation file:
9
Views
Related Proceedings Papers
Related Articles
The Assessment of Melanoma Risk Using the Dynamic Infrared Imaging Technique
J. Thermal Sci. Eng. Appl (September,2011)
In-Vivo Detection of Skin Cancer Using the Dynamic Infrared Imaging Technique
J. Heat Transfer (August,2011)
Design of a Bending Section Auto-Driven Mechanism for Colonoscope
J. Med. Devices (June,2009)
Related Chapters
A Novel Automated Morphological Fuzzy Optimal Thresholding Technique to Extract Malignant Melanoma Lesions
International Conference on Computer and Computer Intelligence (ICCCI 2011)
Introduction
Nanoparticles and Brain Tumor Treatment
Experimental Studies
Nanoparticles and Brain Tumor Treatment