… Studies have proved the significance of X-ray images for the diagnosis of COVID-19. The
dissemination of deep-learning techniques on X-ray images can automate the diagnosis …

… Recently, deep learning–based feature extraction methods … framework, the strength of
such deep learning–based … A comprehensive flow diagram of our proposed framework is …

… the early stage diagnosis of … deep learning models for the automated screening of COVID-19
suspected cases. An ensemble deep learning and Internet of Things (IoT) based framework …

… to a next level of deep learning frameworks. However, this … based deep learning framework
that automatically discriminated depressed and healthy controls and provided the diagnosis…

… by EPCOR Drainage Services based in Edmonton, Canada. A complete framework for
developing the automated defect detection system with a deep learning algorithm is proposed in …

… Cancer diagnosis can be automated by using the potential of … Deep Learning (DL) and
Digital Image Processing (DIP) techniques, this paper inscribes a classification framework to …

… of samples, absence of automated processing methods, and … machine-learning-based
framework involving a large number of data points and fully automated processing for diagnosis …

… Still the available automated tumor detection systems are not … robust automated computer-aided
diagnosis systems for brain tumor detection. The conventional machine learning-based …

… a novel deep learning framework for the detection and classification of breast cancer in
breast cytology images using the concept of transfer learning. In general, deep learning …

… a machine learning-based framework for detection of COVID-19 from X-ray images. We used
one traditional machine learning … CNN-based ResNet50 architect as an automated tool for …