… [53] lists a variety of deep learning–based segmentation techniques. They have tabulated …
of some of the best image segmentation techniques using deep learning, whereas our focus is …

… and analysis of deep-learning-based image segmentation algorithms; we overview popular
image segmentation datasets, grouped into 2D and 2.5D (RGB-D) images; we summarize …

… Deep learning has become the most widely used approach for cardiac image segmentation
… of over 100 cardiac image segmentation papers using deep learning, which covers common …

… segmentation to separate the identified “blobs” in the image. The watershed transformation
treats the image it … Finally, a box was automatically placed by the segmentation algorithm to …

… deep learning have made it possible to significantly improve the performance of image
recognition and semantic segmentation … hierarchical feature learning in deep learning frameworks…

… Thus, deep learning–based pathology image segmentation … the pathology image segmentation
process using deep learning … implementing deep learning into pathology image analysis …

… the development and application of deep learning in medical image segmentation, we
also collect the currently common public medical image segmentation data sets. Finally, we …

… To identify the papers reviewed in this survey, we used Google Scholar to find papers with
titles or abstracts containing the phrase ’deep learning medical image segmentation’. The …

… 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 …

… Our goal is to classify each voxel in an MR Image as non-hippocampus, left hippocampus, …
to evaluate different deep learning techniques for patch-based segmentation. All images are …