Tag: skin

Houston Dermatology: Explained

Among one the biggest worries of young adults and pubescent youths are the hormonal assaults they are relentlessly subjected to. That’s a cause! The effect? Stressful and unpleasant acne can leave even the most self-confident person feeling like they aren’t up to par. Unsurprisingly, dermatologists are more or less considered to be heroes by this age category. It can be mind-numbingly annoying and even depressing to deal with skin breakouts in the middle of what might be a tense period for you. Thankfully, the field of dermatology is developed enough to offer everyone help, whether they’re suffering from the all-too-common acne to the more rare yet still frequent psoriasis or eczema.

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Recognizing skin cancer symptoms using model based imaging

When a quality skin model is constructed – recognizing skin cancer symptoms can be more comfortable as many factors indicate the threat of skin cancer. Of course, this can’t give 100% results, as there are many shortcomings connected with skin lesion variety and interpretation errors. But some guides may help. Three main factors can indicate the risk of skin cancer. Recognizing skin cancer symptoms can be based on them. They are: Melanin presence in the papillary dermis; The thickness of papillary dermis; Blood behaviour around the lesion and inside it. The first important factor is the melanin present in the dermis. This is the main factor in recognizing skin cancer symptoms. If melanin spread in the papillary dermis or even dermis, this is a significant probability of being skin cancer symptoms, but not always. Several subfactors in this issue, like melanin spreading figure, depth, and melanin density within this shape. If there are more irregularities in the spreading area, there are more risks. Another factor in recognizing skin cancer symptoms is papillary layer thickness. In not going into deep too much there can be said, that the thinner this layer, the more significant risk.

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DullRazor – digital skin hair shaver

DullRazor uses image processing techniques to analyze and segments skin areas with dark hair. This program removes dark hair form images and makes skin lesion images clean to further processing. From: To: Many skin images contain various numbers of hairs. Other skin segmentation programs may mislead because of hairs – especially dark ones. One solution can be shaving skin before taking pictures of it. But shaving of skin adds more time to processing, and this is uncomfortable and, in some cases, unaesthetic.  Hence, a software approach for dark, thick hair removal from skin images are needed.

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