… 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…

… This research was an important step forward to use deep learning object detection algorithms
to detect abnormalities in esophageal endoscopy images. The aforementioned methods …

… a most efficient computer-aided diagnosis technique to correctly … by using the combination
of transfer learning and deep … segmentation and classification using machine learning [36-38]. …

… , for applications in a number of medical specialties. However… ; otherwise, deep learning
often results in algorithms that … and effective deep learning algorithms for medical applications …

… deep learning can be useful in DR detection and classification, but it still has several aspects
to be open for research. It has been observed that many deep learning … in the medical and …

… diagnosis of breast cancer using histopathology images of conventional photomicroscopy.
Cancer diagnosis … for breast cancer diagnosis has been focused on deep learning. Based on …

… Since SVM has a remarkable aspect that tremendously provides good results using a small
data set thus in this study we have used SVM machine learning algorithm to diagnose COVID…

… We propose the unsupervised method by using PCANet and k-means for computer aided
AD prediction. The proposed method firstly utilizes one view of MRI image as the input data for …

… ) for the validation of our proposed algorithm and decision-making based on machine learning
algorithms. Here, the dataset contains 76 attributes, but we prefer to use a subset of 14. In …

… Therefore, this commentary focuses on AI in medical diagnostic … of computer-aided
detection/diagnosis using artificial … in the medical diagnostic imaging field in AI and machine …