Research Area:  Machine Learning
Computer-aided medical image analysis plays a significant role in assisting medical practitioners for expert clinical diagnosis and deciding the optimal treatment plan. At present, convolutional neural networks (CNNs) are the preferred choice for medical image analysis. In addition, with the rapid advancements in three-dimensional (3D) imaging systems and the availability of excellent hardware and software support to process large volumes of data, 3D deep learning methods are gaining popularity in medical image analysis. Here, we present an extensive review of the recently proposed 3D deep learning methods for medical image segmentation. Furthermore, the research gaps and future directions in 3D medical image segmentation are discussed.
Keywords:  
Medical Image Segmentation
3d Convolutional Neural Networks
deep learning
Author(s) Name:  S. Niyas, S.J. Pawan, M. Anand Kumar, Jeny Rajan
Journal name:  Neurocomputing
Conferrence name:  
Publisher name:  Elsevier
DOI:  10.1016/j.neucom.2022.04.065
Volume Information:  Volume 493, 7 July 2022, Pages 397-413
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0925231222004362