… AI models in pathology have developed from expert systems to traditional ML and then to
deep learning (DL). Expert systems rely on rules defined by experts, and traditional ML needs …

… and we want to explore the existing deep learning models to get an insight into the loopholes
and gaps that can be filled using our proposed deep learning scheme. Multi-task learning …

… of potential directions where deep learning can contribute to … We find that the application of
deep learning techniques is … test the performance of deep learning methods with no practical …

… Deep learning combined with machine learning has the potential to advance the field of …
that deep learning is another form of machine learning, the potential for deep learning in …

… Deep learning algorithms and in particular convolutional networks have shown tremendous
… , and lack of interpretation of the resulting deep learning solutions. We discuss how existing …

… learning theory. We reveal both the optimization dynamics and generalization performance
under deep learning … observed for importance weighting in deep learning, but also extends to …

… Deep learning is new but will definitely play a role in the future development of music
production. As this study revealed, deep learning is significantly related to techniques and …

… role of deep learning techniques based on convolutional neural network for object detection.
Deep learning … In this paper, we demystified the role of deep learning techniques based on …

… One of the state-of-the-art deep learning technique is used to make a fusion between these
… on Deep Learning in Medical Imaging” is that the application of deep learning techniques in …

Background Since the onset of the COVID-19 pandemic, the world witnessed disruption on
an unprecedented scale affecting our daily lives including but not limited to healthcare, …