Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

• Published in: Frontiers in cardiovascular medicine Vol. 7; p. 105
• Main Authors: Chen, Chen, Bai, Wenjia, Davies, Rhodri H., Bhuva, Anish N., Manisty, Charlotte H., Augusto, Joao B., Moon, James C, Aung, Nay, Lee, Aaron M., Sanghvi, Mihir M., Fung, Kenneth, Paiva, Jose Miguel, Petersen, Steffen E., Lukaschuk, Elena, Piechnik, Stefan K., Neubauer, Stefan, Rueckert, Daniel
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 30.06.2020
• Subjects: artificial intelligence; cardiac image analysis; cardiac MR image segmentation; Cardiovascular Medicine; deep learning; model generalization; neural network; deep learning; model generalization; neural network; artificial intelligence; cardiac MR image segmentation; cardiac image analysis

Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with high accuracy when training and test images come fr...