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Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging.

Shintaro SaitoKenichi NakajimaLars EdenbrandtOlof EnqvistJohannes UlénSeigo Kinuya
Published in: EJNMMI research (2021)
The CNN could create segmentation from SPECT images, and average heart counts and WR were reliably calculated three-dimensionally, which might be a novel approach to quantifying SPECT images of innervation.
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