… we survey the image datasets most commonly used to train and test DL image segmentation
… We have surveyed image segmentation algorithms based on deep learning models, which …

… The inaccurate segmentation results are unable to meet the … review of current medical image
segmentation methods based on … based on deep learning is summarized in this review [93]. …

… semantic image segmentation methods into two categories: traditional and recent DNN method…
Moreover, we has carried out a survey on datasets of image segmentation and evaluation …

… segmentation in medical image segmentation since each organ or tissue is quite different.
We review the advances of deep learning techniques … survey on medical image segmentation …

… of some of the best image segmentation techniques using deep learning, whereas our
focus is to understand why, when, and how these techniques perform in various challenges. …

… review of medical image segmentation based on U-net, focusing on the successful segmentation
… Along with the latest advances in DL, this article introduces the method of combining …

… methods for cardiac image segmentation reviewed in this work. (B) The increase of public
data for cardiac image segmentation in … learning techniques for cardiac image segmentation in …

… EVALUATION METRICS As crucial as designing image processing models are, it is equally
important to evaluate … and widely used image segmentation evaluation metrics. Many of …

… A large number of novel methods have been proposed. This paper aims to provide a brief
review of research efforts on deep-learning-based semantic segmentation methods. We …

… means multi-modal medical image segmentation in deep learning are obtaining … image
segmentation community, the medical image segmentation community, and the medical image …