… 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 …

… 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 machine learning tools for computer-aided, or AI-assisted, clinical tasks. However, most of
these machine learning … of Physicists in Medicine (AAPM) Computer-Aided Image Analysis …

… 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 …

… 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 …

… 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 …

… In this paper, we have proposed a computer-aided diagnosis system based on K-Nearest
Neighbors (KNN) and Artificial Neural Network (ANN) algorithms. Then, we applied K-fold …

… 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) …

… deep learning to CT scan data for pre-processing, lung segmentation, false positive reduction,
lung nodule detection, … We discuss the development of deep learning, describe several …