Medical image segmentation with 3D convolutional neural networks: A survey

Computer-aided medical image analysis plays a significant role in assisting practitioners for expert clinical diagnosis and deciding the optimal treatment plan. At present, convolutional neural networks (CNNs) are preferred choice analysis. In addition, with rapid advancements three-dimensional (3D) imaging systems availability of excellent hardware software support to process large volumes data, 3D deep learning methods gaining popularity Here, we present an extensive review recently proposed segmentation. Furthermore, research gaps future directions segmentation discussed.