… In this article, the authors highlight both clinical needs and technical challenges in medical
imaging and describe how emerging trends in deep learning are addressing these issues. …

… Finally, our review concentrated on DL for speciality-specific medical imaging, and therefore
it may not be appropriate to generalise our findings to other forms of medical imaging or AI …

… deep learning in different medical image modalities. Here, we present a systematic review of
the applications of 3D deep learning in medical imaging … deep learning on medical images. …

… In the field of medical image processing methods and analysis, … with deep learning are
presented in this paper. The primary goals of this paper are to present research on medical image …

… above learning approaches in four classical medical image analysis tasks (classification,
segmentation, detection, and registration). Especially, we discussed the deep learning based …

… learning in the field of medical image analysis by dividing several elemental parts of human
body. Finally, we also discussed the integration of transfer learning with other deep learning …

… in medical image analysis. We chose to focus solely on papers that used deep learning-based
XAI in medical image … “(explainable deep learning OR interpretable deep learning OR XAI …

… medical industry and academia. This paper reviewed the recent progress of deep learning
research in medical image … , deep learning models performed well in medical image analysis, …

… Then, we provide an overview of deep learning and its … show deep learning applications
for COVID-19 medical image … to deep learning implementations for COVID-19 medical image …

… of deep learning, medical image processing based on deep … of medical image segmentation
based on deep learning. First… of medical image segmentation based on deep learning are …