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Erschienen in:
Optimization of Nonlocal Means Filtering Technique for Denoising Magnetic Resonance Images: A Review Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Review of Image Acquisition and Classification Methods on Early Detection of Skin Cancer

verfasst von : M. Reshma, B. Priestly Shan

Erschienen in: Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Verlag: Springer Singapore

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Abstract

The word cancer is enough to send many people into a spin. However, most types of skin cancer have a very favorable prognosis. They are common and very treatable. Melanoma is the skin cancer of most concern. Minor skin cancers often appear as a spot or sore that will not heal. Melanomas may arise in a preexisting skin mole that has become darker or changed in appearance. More often they will appear as a new mole or an unusual freckle. Nearly all skin cancers are related to excessive UV radiation. The depletion of the earth’s ozone layer also appears to be increasing the risk of developing skin cancer. With melanoma, family history also seems to be a factor. Detection at the melanoma in situ stage provides the highest curable rate for melanoma. The aim of this paper is to provide the summary of all the available methods and stages of melanoma identification.

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Vorheriges Kapitel Parallelization of Simulated Annealing Algorithm for FPGA Placement and Routing
Nächstes Kapitel Enhancement of Mobile Ad Hoc Network Security Using Improved RSA Algorithm
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Metadaten
Titel
Review of Image Acquisition and Classification Methods on Early Detection of Skin Cancer
verfasst von
M. Reshma
B. Priestly Shan
Copyright-Jahr
2016
Verlag
Springer Singapore
Buch
Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Print ISBN: 978-981-10-0447-6

Electronic ISBN: 978-981-10-0448-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-981-10-0448-3_85

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