… a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to
improve the differential diagnosis … In this multicenter retrospective study, a diagnostic model was …

… Computer-aided detection/diagnosis (CAD) in radiography … recent medical imaging-based
(CT and X-ray) deep learning … the medical staff and enhance conventional human diagnostics. …

… , which makes use of algorithms that are able to locate and recognize patterns. All of them, …
we propose a Computer-aided Diagnosis (CAD) method for the identification and diagnosis of …

… faced by computer aided diagnosis (CAD), machine learning (ML) and deep learning (DL)
based techniques for CT and MRI as prime modalities for stroke detection and lesion region …

… A Convolutional Neural Network (CNN) is a deep learning procedure in which we apply an
image as input. Weights and biases are allocated in a layer called the convolutional layer [17…

… is to analyse the different machine learning techniques to work with the diagnosis of AD and
… on the diagnosis of a single type of dementia using computer-aided diagnosis. The different …

… We expected a large degree of between-study heterogeneity due to the broad nature of the
machine learning algorithms included in this study. However, the I 2 % was minimal for the …

… , a computer aided diagnosis (CAD) model Cov-Net is proposed for accurate recognition of
COVID-19 from chest X-ray images via machine … Deep learning methods in modeling and …

… Deep learning (DL) encoding SMFs with … rapid computer-aided diagnosis of stroke is
performed using SMF based multi-modal recognition by DL, to combine adaptive machine learning …

… The main contribution of the present paper is the provision of a computer-aided detection
method for lower gastrointestinal diseases with modified criteria for extracting …