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	<title>Melanoma - skin cancer reviewed</title>
	<link>http://melanoma.blogsome.com</link>
	<description>Just another WordPress weblog</description>
	<pubDate>Fri, 24 Aug 2007 08:18:49 +0000</pubDate>
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		<item>
		<title>Facts about melanoma you should know</title>
		<link>http://melanoma.blogsome.com/2007/08/24/facts-about-melanoma-you-should-know/</link>
		<comments>http://melanoma.blogsome.com/2007/08/24/facts-about-melanoma-you-should-know/#comments</comments>
		<pubDate>Fri, 24 Aug 2007 08:18:49 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Melanoma Articles</category>
		<guid>http://melanoma.blogsome.com/2007/08/24/facts-about-melanoma-you-should-know/</guid>
		<description><![CDATA[Facts about melanoma you should know]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2007/08/24/facts-about-melanoma-you-should-know/feed/</wfw:commentRss>
	</item>
		<item>
		<title>MoleExpert micro software</title>
		<link>http://melanoma.blogsome.com/2006/05/31/moleexpert-micro-software/</link>
		<comments>http://melanoma.blogsome.com/2006/05/31/moleexpert-micro-software/#comments</comments>
		<pubDate>Wed, 31 May 2006 18:30:45 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/05/31/moleexpert-micro-software/</guid>
		<description><![CDATA[	The MoleExpert software is a product is based on experiences of many years with the automated analysis of pigmented skin lesions. Important requirement with this software project was the usefulness of the software with most different photograph systems. 
	 Qualitatively high-quality, evenly and well illuminated top illumination-microscopic pictures of the lesions is the most important [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/05/31/moleexpert-micro-software/feed/</wfw:commentRss>
	</item>
		<item>
		<title>Recognizing skin cancer symptoms using model based imaging</title>
		<link>http://melanoma.blogsome.com/2006/05/15/recognizing-skin-cancer-symptoms-using-model-based-imaging/</link>
		<comments>http://melanoma.blogsome.com/2006/05/15/recognizing-skin-cancer-symptoms-using-model-based-imaging/#comments</comments>
		<pubDate>Mon, 15 May 2006 13:01:06 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Melanoma Articles</category>
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/05/15/recognizing-skin-cancer-symptoms-using-model-based-imaging/</guid>
		<description><![CDATA[	If quality skin model is constructed, then recognizing skin cancer symptoms can be easier as there are many factors showing about threat of skin cancer. Of course this can&rsquo;t give 100% results, as there are many shortcomings connected with skin lesion variety and interpretation errors. But some guides may help.
	There are 3 main factors that [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/05/15/recognizing-skin-cancer-symptoms-using-model-based-imaging/feed/</wfw:commentRss>
	</item>
		<item>
		<title>SkinSeg – segmentation of melanoma</title>
		<link>http://melanoma.blogsome.com/2006/05/04/p16/</link>
		<comments>http://melanoma.blogsome.com/2006/05/04/p16/#comments</comments>
		<pubDate>Thu, 04 May 2006 20:09:32 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/05/04/p16/</guid>
		<description><![CDATA[	SkinSeg is simple tool used for skin lesion segmentation. This little program was developed by Intelligent Systems laboratory students: L. Xu, M. Jackowski, A. Goshtasby, C. Yu, D. Roseman, S. Bines, A. Dhawan, A. Huntley. Their method is working similar as in my earlier experiment with matlab pigmented lesion boundary tracing algorithm. First image is [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/05/04/p16/feed/</wfw:commentRss>
	</item>
		<item>
		<title>DullRazor – digital skin hair shaver</title>
		<link>http://melanoma.blogsome.com/2006/05/01/dullrazor-%e2%80%93-digital-skin-hair-shaver/</link>
		<comments>http://melanoma.blogsome.com/2006/05/01/dullrazor-%e2%80%93-digital-skin-hair-shaver/#comments</comments>
		<pubDate>Mon, 01 May 2006 10:19:26 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/05/01/dullrazor-%e2%80%93-digital-skin-hair-shaver/</guid>
		<description><![CDATA[	DullRasor uses image processing techniques to analyze and segmentates skin areas with dark hair. This program removes dark hairs form images, and makes skin lesion images clean to further processing.
	&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 
	&nbsp;  
	Many skin images contain various numbers of hairs. Other skin segmentation programs may mislead because of hairs &ndash; especially dark ones. One solution [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/05/01/dullrazor-%e2%80%93-digital-skin-hair-shaver/feed/</wfw:commentRss>
	</item>
		<item>
		<title>Skin Cancer causing factors</title>
		<link>http://melanoma.blogsome.com/2006/04/29/skin-cancer-causing-factors/</link>
		<comments>http://melanoma.blogsome.com/2006/04/29/skin-cancer-causing-factors/#comments</comments>
		<pubDate>Sat, 29 Apr 2006 16:09:39 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Melanoma Articles</category>
	<category>Info</category>
		<guid>http://melanoma.blogsome.com/2006/04/29/skin-cancer-causing-factors/</guid>
		<description><![CDATA[	


Substance
   
	
Where   this can be found
   
	
How   to avoid
   
  
	

Arsenic
   
	
Pesticides, wood preservatives, alloy   additive non ferrous metals.
   
	
Use protective clothing when working with   arsenic substances
   
  
	

Creosote
   
	
Wood preservative
 [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/04/29/skin-cancer-causing-factors/feed/</wfw:commentRss>
	</item>
		<item>
		<title>Healthy skin reflectance model</title>
		<link>http://melanoma.blogsome.com/2006/04/27/healthy-skin-reflectance-model/</link>
		<comments>http://melanoma.blogsome.com/2006/04/27/healthy-skin-reflectance-model/#comments</comments>
		<pubDate>Thu, 27 Apr 2006 07:32:24 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Skin Structure</category>
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/04/27/healthy-skin-reflectance-model/</guid>
		<description><![CDATA[	 This pilot study is intended to investigate possibilities of skin nevus imaging using digital still image camera. The main objective is to develop method of dermatology images interpretation, which enables the looking on the skin lesions and nevus from the optical background of skin coloration. Kubelka-Munk calculation method for light transport and reflection from [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/04/27/healthy-skin-reflectance-model/feed/</wfw:commentRss>
	</item>
		<item>
		<title>Review on skin lesion imaging, analysis and automatic classification</title>
		<link>http://melanoma.blogsome.com/2006/04/27/review-on-skin-lesion-imaging-analysis-and-automatic-classification/</link>
		<comments>http://melanoma.blogsome.com/2006/04/27/review-on-skin-lesion-imaging-analysis-and-automatic-classification/#comments</comments>
		<pubDate>Thu, 27 Apr 2006 07:17:12 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Melanoma Articles</category>
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/04/27/review-on-skin-lesion-imaging-analysis-and-automatic-classification/</guid>
		<description><![CDATA[	The goal of any imaging methodology used in dermatology is to diagnose melanoma in early stages, because on it depends effectiveness of treatment. Investigations shows, that early diagnosis is more than 90% curable and late is less than 50% [1]. The diagnosis and successful treatment is often supplemented with permanent monitoring of suspicious skin lesions.
	Doctor&rsquo;s [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/04/27/review-on-skin-lesion-imaging-analysis-and-automatic-classification/feed/</wfw:commentRss>
	</item>
		<item>
		<title>Skin lession boundary tracing algorithm</title>
		<link>http://melanoma.blogsome.com/2006/04/10/skin-lession-tracing-boundary-algorithm/</link>
		<comments>http://melanoma.blogsome.com/2006/04/10/skin-lession-tracing-boundary-algorithm/#comments</comments>
		<pubDate>Mon, 10 Apr 2006 20:21:43 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Skin Image Processing</category>
		<guid>http://melanoma.blogsome.com/2006/04/10/skin-lession-tracing-boundary-algorithm/</guid>
		<description><![CDATA[	I found on matlab very handy tool which allows easily to trace boundaries of objects in a picture. So I adopted it to skin lesions. This can be used for automatic detection of skin irregularities and used to calculate lesion properties like asymmetry of shape, or border irregularities, who can help in detecting melanoma. There [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/04/10/skin-lession-tracing-boundary-algorithm/feed/</wfw:commentRss>
	</item>
		<item>
		<title>ABCD method for screening skin cancer</title>
		<link>http://melanoma.blogsome.com/2006/04/04/abcd-method-for-screening-skin-cancer/</link>
		<comments>http://melanoma.blogsome.com/2006/04/04/abcd-method-for-screening-skin-cancer/#comments</comments>
		<pubDate>Tue, 04 Apr 2006 17:40:41 +0000</pubDate>
		<dc:creator>Administrator</dc:creator>
		
	<category>Melanoma Articles</category>
		<guid>http://melanoma.blogsome.com/2006/04/04/abcd-method-for-screening-skin-cancer/</guid>
		<description><![CDATA[	  
	
	To improve diagnostic accuracy the &nbsp;ABCD rule of lesion screening is widely used based on &nbsp;asymmetry (A), border (B), color (C), and differential structure (D) measuring.
	&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A total dermatoscopic value (TDV) results from the calculation 
	TDV = A&middot;1,3 + B&middot;0,1 + C&middot;0,5 + D&middot;0,5
   
&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This score contributes to the differentiation [...]]]></description>
		<wfw:commentRss>http://melanoma.blogsome.com/2006/04/04/abcd-method-for-screening-skin-cancer/feed/</wfw:commentRss>
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