Authors :
Atul Kumar; Pankaj Chaudhary; Himanshu Prasad; Yuvraj Patil; Avinash Shah
Volume/Issue :
Volume 5 - 2020, Issue 11 - November
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2JSvLf8
Abstract :
Skin infections are widely considered more
prevalent than different sicknesses. The main reasons for
skin diseases can be a fungal infection, bacteria, viruses,
shingles, hives, allergy, etc. There are various medical
technologies available for example laser therapy, and
advancement in photonics, etc. for the detection of
different skin diseases which provide results in no time
and are very accurate. The real problem arises that these
medical technologies are quite limited and expensive,
everybody cannot afford these types of diagnosis. Because
of the expenses of dermatologists to screen each patient,
there is a requirement for an electronic framework to
assess a patient's danger of skin infection utilizing
pictures of their skin sores caught utilizing a standard
advanced camera. In our proposed work, VGG16, which
is utilized as a component extractor, assumes an
exceptionally pivotal part in assisting with ordering skin
sicknesses. We have proposed a picture preparing based
strategy to distinguish skin sicknesses. This technique
takes a picture of the influenced skin infection territory as
info, at that point, it will separate the key highlights
utilizing channels and removed highlights are then
contrasted and the prepared model(contains datasets of
test pictures) to distinguish the kind of skin sickness. Our
Proposed work is basic, fast, and doesn't need any kind of
expensive gear.
Keywords :
Image Processing, VGG-16, Skin diseases, Feature Extraction
Skin infections are widely considered more
prevalent than different sicknesses. The main reasons for
skin diseases can be a fungal infection, bacteria, viruses,
shingles, hives, allergy, etc. There are various medical
technologies available for example laser therapy, and
advancement in photonics, etc. for the detection of
different skin diseases which provide results in no time
and are very accurate. The real problem arises that these
medical technologies are quite limited and expensive,
everybody cannot afford these types of diagnosis. Because
of the expenses of dermatologists to screen each patient,
there is a requirement for an electronic framework to
assess a patient's danger of skin infection utilizing
pictures of their skin sores caught utilizing a standard
advanced camera. In our proposed work, VGG16, which
is utilized as a component extractor, assumes an
exceptionally pivotal part in assisting with ordering skin
sicknesses. We have proposed a picture preparing based
strategy to distinguish skin sicknesses. This technique
takes a picture of the influenced skin infection territory as
info, at that point, it will separate the key highlights
utilizing channels and removed highlights are then
contrasted and the prepared model(contains datasets of
test pictures) to distinguish the kind of skin sickness. Our
Proposed work is basic, fast, and doesn't need any kind of
expensive gear.
Keywords :
Image Processing, VGG-16, Skin diseases, Feature Extraction
