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

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

Background: 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 im...

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Bibliographic Details
Main Authors: Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte H. Manisty, Joao B. Augusto, James C Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, Jose Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
deep learning
neural network
cardiac MR image segmentation
model generalization
cardiac image analysis
Online Access:https://www.frontiersin.org/article/10.3389/fcvm.2020.00105/full

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https://www.frontiersin.org/article/10.3389/fcvm.2020.00105/full

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