Web Based Image Processing Application: Rating Diabetes Intensity
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, it is A web-based image processing software which has been introduced to process Immunohistochemical images obtaining in experimentally induced diabetic rats and rank the severity of diabetes between the groups. With the software, specialist physicians can upload Images obtaining in rat groups to the system via web on own account, obtain average color intensity and intensity graphs of groups after Determining the basic colors to be evaluated. The software eliminating the subjective evaluation contains mainly three phases in this study, Evaluation of each image content according to basic axes(Three-dimensional projection), Clustering of colors (Expectation maximization method) and Color-axis determination (Calculation of eigenvectors). As a result of, it can be considered that positive results obtained could stimulate Researchers to generalize of the proposed method.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
Anahtar Kelimeler
Immunohistochemical, diabetes, image analysis, condensation, expectation maximization
Kaynak
2017 International Artificial Intelligence and Data Processing Symposium (Idap)
WoS Q Değeri
N/A
