Automated heart segmentation using U-Net in pediatric cardiac CT

Automated heart segmentation using U-Net in pediatric cardiac CT

This study investigated the usefulness of deep learning methods for segmenting the whole heart region and the cardiac cavity region in pediatric cardiac CT images using U-Net. Dice similarity coefficient (DSC) was used to evaluate the segmentation accuracy by leave-one-subject-out cross-validation....

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Bibliographic Details
Main Authors: Akifumi Yoshida, Yongbum Lee, Norihiko Yoshimura, Tatsuya Kuramoto, Akira Hasegawa, Tsutomu Kanazawa
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Segmentation
Pediatric
Heart
Computed tomography
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421000908

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http://www.sciencedirect.com/science/article/pii/S2665917421000908

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