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A research entitled (automated classification of diabetic foot ulcers using binary patterns and convolutional neural networks)

A research team from the College of Education – Department of Computers publishes scientific research in an international journal with a Q1 rating, in cooperation with the University of Manchester, UK and Manchester Metropolitan University, UK.
News Details: A scientific research has been published entitled
Automated classification of diabetic foot ulcers using binary patterns and convolutional neural networks.
“Diabetic Foot Ulcer Classification using Mapped Binary Patterns and Convolutional Neural Networks”
By Dr. Nora Muhammad Sahib Al-Karaawi and Abbas Fadel Al-Harran, teachers in the Department of Computers. The research was published in the “Computer in Biology and Medicine” journal, which is published by Elsevier International Publishing House and ranked within the first quarter Q1 at the laboratories Impact Factor=4.589 and CiteScore=7.3. This journal is considered one of the leading and reputable references in the field of computers and its biological and medical applications. The date of its first issue dates back to 1970, in addition to being included in Scopus repositories and Clarivate Analytics databases. It possesses sequence 7 of Out of 58 journals specializing in computational theories in the fields of biology and medicine.
Dr. Nora Al-Karaawi stated that in the published research, a new automated computer method was proposed for diagnosing diabetic foot ulcer disease, which a person suffers from as a result of high blood sugar, which leads to amputation of the foot if it is not diagnosed early and accurately. Where the proposed method is considered as an aid to the medical team and the specialized staff in identifying the area of ​​the disease and diagnosing it early. The proposed method has achieved high accuracy in diagnosing the disease within medical computer standards, and the achieved performance was examined by using three databases of disease images that were collected in cooperation with some British hospitals. Where the research can be viewed and downloaded free of charge and for a limited time from the magazine’s website by following the link below:

 https://authors.elsevier.com/a/1e8T92OYcyEbg

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