… 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 …

… Therefore, the purpose of this article is to comprehensively survey the field of deep
learning-based medical image registration, highlight common challenges that practitioners face, and …

… learn what the word ADA may look like, by leveraging experience with ADAPT, ADAM, etc).
Similar concepts exist for analysis of medical images: images … the model can learn motifs that …

… This report provides an overview of the current state of the art deep learning architectures
and optimisation techniques, and uses the ADNI hippocampus MRI dataset as an example to …

… of deep learning in medical image analysis; sampling the roles of medical image analysis
in … implementation examples and insights of medical image analysis studies; highlighting …

… deep-learning platforms are flexible but do not provide specific functionality for medical image
… This work presents the open-source NiftyNet platform for deep learning in medical imaging…

… The rapid adoption of deep learning may be attributed to the availability of machine learning
… of how to build a deep neural network for medical image classification, and provide code …

… review of deep learning (DL)-based medical image registration … based registration methods
in the medical field. These methods … and future trend of DL-based medical image registration. …