TY - JOUR
T1 - Deep Learning for Cardiac Image Segmentation
T2 - A Review
AU - Chen, Chen
AU - Qin, Chen
AU - Qiu, Huaqi
AU - Tarroni, Giacomo
AU - Duan, Jinming
AU - Bai, Wenjia
AU - Rueckert, Daniel
N1 - Copyright © 2020 Chen, Qin, Qiu, Tarroni, Duan, Bai and Rueckert.
PY - 2020
Y1 - 2020
N2 - Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound and major anatomical structures of interest (ventricles, atria, and vessels). In addition, a summary of publicly available cardiac image datasets and code repositories are included to provide a base for encouraging reproducible research. Finally, we discuss the challenges and limitations with current deep learning-based approaches (scarcity of labels, model generalizability across different domains, interpretability) and suggest potential directions for future research.
AB - Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound and major anatomical structures of interest (ventricles, atria, and vessels). In addition, a summary of publicly available cardiac image datasets and code repositories are included to provide a base for encouraging reproducible research. Finally, we discuss the challenges and limitations with current deep learning-based approaches (scarcity of labels, model generalizability across different domains, interpretability) and suggest potential directions for future research.
U2 - 10.3389/fcvm.2020.00025
DO - 10.3389/fcvm.2020.00025
M3 - Review article
C2 - 32195270
SN - 2297-055X
VL - 7
SP - 25
JO - Frontiers in cardiovascular medicine
JF - Frontiers in cardiovascular medicine
ER -