… It is necessary in disease diagnosis to extract valuable information from big data quickly and
… effectiveness of medical diagnosis, we propose an EDNM in computer-aided diagnosis. In …

… of different machine learning algorithms in the diagnosis of thyroid … Therefore, machine
learning (ML) has made its way up to be … Several classifying machine learning algorithms were …

… to computer-aided image analysis, including aspects of … intelligence applied to precision
medicine. We believe that artificial intelligence, machine learning, computer-aided diagnosis, …

… in developing CAD tools using deep learning technology or artificial intelligence (AI) in … AI
in clinical use. It is hoped that the past experiences and the deep learning technology will lead …

… Many deep-learning (DL)-based algorithms have also been developed for … computer-aided
diagnosis systems for DR. This paper reviews the latest DL algorithms used in DR detection, …

… the usage of machine learning techniques to assist in the early diagnosis of CKD in … ,
conducted using a systematic literature review and an experiment with machine learning techniques…

… ways to automate the detection process of DR. A computer aided diagnosis system has the
… all the recent development on automated DR detection using fundus images from 2015 up to …

… diagnosis in this field. To tackle this problem, we propose and test a computer-aided system
based on machine learning … , as a support for a more accurate diagnosis of ear conditions at …

… Finally, we trained standard machine learning (ML) models and evaluated the performance
… studies are found using machine learning (ML)-based Computer-Aided Diagnosis (CAD) …

… is early diagnosis and treatment. … computer-aided method that can support the early diagnosis
and treatment of the COVID-19 virus. The use of computer-aided systems in the detection …