Computer Vision Techniques for the Diagnosis of Skin Cancer
|Dates||2012/09/01 (iCal) - 2013/03/15|
|Table of Contents|
We would like to invite you to contribute a chapter for our upcoming volume entitled Computer Vision Techniques for the Diagnosis of Skin Cancer to be published by Springer (Series in BioEngineering) late 2013.
Below is a short description of the volume:
Malignant melanoma is one of the most rapidly increasing cancers in the world. Invasive melanoma alone has an estimated incidence of 76,250 and an estimated total of 9,180 deaths in the United States in 2012. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early.
In the past, the primary form of diagnosis for melanoma has been unaided clinical examination. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies and computer-based methods can serve as adjuncts to physicians and provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.
The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer.
Submission of abstracts September 1, 2012
Notification of initial editorial decisions September 15, 2012
Submission of full-length chapters November 15, 2012
Notification of final editorial decisions January 15, 2013
Submission of revised chapters March 15, 2013
All submissions should be done via EasyChair:
Original artwork and a signed copyright release form will be required for all accepted chapters. For author instructions, please see:
Feel free to contact us via email regarding your chapter ideas.
Jacob Scharcanski (‘firstname.lastname@example.org’) and M. Emre Celebi (‘email@example.com’) Editors