0% Complete
صفحه اصلی
/
اولین کنگره بین المللی رویکردهای نوین سبک زندگی، پیشگیری و درمان سرطان
A Systematic Review On Application Of Deep Learning Techniques In Oral Cancer Diagnosis
نویسندگان :
Arefe Pourmajidian (دانشگاه علوم فنون بابل) , Javad Vahidi (دانشگاه علم و صنعت ایران) , Hamze Maghfouri (دانشگاه علوم پزشکی مازندران)
کلمات کلیدی :
Oral cancer،Artificial Intelligence،Deep learning
چکیده :
Oral cancer (OC) is the most common type of head and neck cancer. According to the latest statistics announced by WHO (1), out of 377,713 new cases of OC, 177,757 cases resulted in death. Cancer is one of the most dangerous and life-threatening diseases in case it is not diagnosed in the early stages. Deep learning (DL) is a new technology and a modern method for early detection of cancer, which, unlike old methods, has reached a high accuracy almost equal to human detection. In some new studies, DL accuracy is higher than human accuracy. Using DL techniques and cutting-edge technologies can be effective in the early detection of OC and reduce the death rate of patients. As a result, it can reduce treatment costs and duration. Our study presents a systematic review of the Artificial Intelligence (AI) techniques of recent articles in OC diagnosis using DL techniques from different biomedical images; scrutinizes methodologies and their accuracy; examines their innovations and limitations; and finally, provides suggestions for future work and facing the existing challenges.
لیست مقالات
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 34.4.5
