Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework

2018 ◽  
Vol 48 (11) ◽  
pp. 3080-3091
Author(s):  
Yingjie Xia ◽  
Luming Zhang ◽  
Lei Meng ◽  
Yan Yan ◽  
Liqiang Nie ◽  
...  
2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Chase Correia ◽  
Seamus Mawe ◽  
Shane Lofgren ◽  
Roberta G. Marangoni ◽  
Jungwha Lee ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 79
Author(s):  
A. Manimaran ◽  
B. Praba ◽  
V. M. Chandrasekaran ◽  
Karan Agrawal ◽  
Akanksha Miharia

2007 ◽  
Vol 100 (2) ◽  
pp. 499-508 ◽  
Author(s):  
Yeşim Kaymak ◽  
İlkay Ulutaş ◽  
Ender Taner ◽  
Bilal Bakir ◽  
Işil Şimşek

The aim of this study was to evaluate perception of body image and anxiety of 221 university students presenting to the dermatology outpatient clinic with a skin disease and 205 students without skin disease. Analysis of anxiety and body image scores yielded differences by sex and age in both groups. The group with skin disease had lower scores on body image. Acne vulgaris seems to be the most disturbing among the skin diseases, and this was more prominent in younger patients.


2013 ◽  
Vol 19 ◽  
pp. 1116-1120 ◽  
Author(s):  
Abderrahim Bourouis ◽  
Ali Zerdazi ◽  
Mohammed Feham ◽  
Abdelhamid Bouchachia

Plant disease interrupts the normal or Ordinary condition of a plant and it alters the essential functionality of a plant. Which intern impacts the productivity of the crop. Speedy observation, recognition and categorization of the plant pathogens will increase the crop yield more than 60% of the total productivity. Disease analysis is more evident on the leaves when compare to the other parts of the plants. Automated methods are most commonly available in different image processing techniques to detect the pathogen attack which can be made more efficient by combining multiple domain, that utilizes computer vision technologies. Most modern techniques or technologies are analyzed to identify the various disease on several crops or crop types. The paper summarizes about types of plants, types of plant diseases and the standard methodologies or technique that would help gaining knowledge about Computer Vision and its applications on plant disease identification and classification. Performance of the Classifiers are analyzed to recognize and classify the better method that typically works among different plant groups and different types of pathogen attack.


Author(s):  
S. Trachtenberg ◽  
P.M. Steinert ◽  
B.L. Trus ◽  
A.C. Steven

During terminal differentiation of vertebrate epidermis, certain specific keratin intermediate filament (KIF) proteins are produced. Keratinization of the epidermis involves cell death and disruption of the cytoplasm, leaving a network of KIF embedded in an amorphous matrix which forms the outer horny layer known as the stratum corneum. Eventually these cells are shed (desquamation). Normally, the processes of differentiation, keratinization, and desquamation are regulated in an orderly manner. In psoriasis, a chronic skin disease, a hyperkeratotic stratum corneum is produced, resulting in abnormal desquamation of unusually large scales. In this disease, the normal KIF proteins are diminished in amount or absent, and other proteins more typical of proliferative epidermal cells are present. There is also evidence of proteolytic degradation of the KIF.


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