PLOSL: Population learning followed by one shot learning pulmonary image registration using tissue volume preserving and vesselness constraints

•The proposed method was designed for pulmonary CT image registration.•Adding one-shot learning improves population learning image registration.•Intensity changes between inspiration-expiration lung CT images are accommodated.•The vesselness constraint improves pulmonary image registration accuracy....

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Vydané v:	Medical image analysis Ročník 79; s. 102434
Hlavní autori:	Wang, Di, Pan, Yue, Durumeric, Oguz C., Reinhardt, Joseph M., Hoffman, Eric A., Schroeder, Joyce D., Christensen, Gary E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.07.2022 Elsevier BV
Predmet:	Algorithms Coders Computed tomography Convolutional encoder-decoder network Datasets Deep learning Encoders-Decoders Expiration Humans Image Processing, Computer-Assisted - methods Image registration Inspiration Learning Lipodystrophy Lung - diagnostic imaging Machine learning Medical imaging Osteochondrodysplasias Registration Subacute Sclerosing Panencephalitis Tissues Tomography, X-Ray Computed Topology Training Transfer learning Deep learning Image registration Transfer learning Convolutional encoder-decoder network
ISSN:	1361-8415, 1361-8423, 1361-8423
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