Reviewing 3D convolutional neural network approaches for medical image segmentation
Background: Convolutional neural networks (CNNs) assume pivotal roles in aiding clinicians in diagnosis and treatment decisions.The rapid evolution of imaging technology has established three-dimensional (3D) CNNs as a formidable framework for delineating organs and anomalies in medical images.The prominence of 3D CNN frameworks is steadily growing