@article{29699,
  keywords = {Skin Diseases, Images, Teledermatology},
  author = {Surovi NA and Kashem A and Babi KN and others },
  title = {Study and development of algorithm of different skin diseases analysis using image processing method.},
  abstract = {<p>Tele-dermatology is a system in the medical field of dermatology where telecommunication technologies are used to exchange information concerning skin conditions over a distance. The advantage of tele-dermatology is that the patients need not to be physically present in consultation room of doctor(s). We have collected (i) eczema, scabies, pyoderma, ringworm, psoriasis, MRSA skin disease images from the American Academy of Dermatology website. Our study found that Feature<br />
Extraction is an important aspect to aid the doctors or Automatic decisions making by computer algorithm to find the diseases of the skin amongst the all possible skin diseases. Our approach was Artificial intelligence based computer algorithm that would be able to make diagnostic decision to a good degree of accuracy. We found features namely, contrast, correlation, energy, maximum probability, entropy, smoothness, homogeneity based on STATISCAL THEORY. We computed the features from the digital images of skin. We found many of the above mentioned features do vary with good degree of margin for Different Skin diseases, but few of them are barely indistinguishable.</p>
},
  year = {2017},
  journal = {Asian Journal of Biomedical and Pharmaceutical Sciences},
  volume = {7},
  publisher = {Allied Academies},
  url = {http://www.alliedacademies.org/articles/study-and-development-of-algorithm-of-different-skin-diseases-analysis-using-image-processing-method.pdf},
  language = {eng},
}