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Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.

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第一作者： Clinton J,Wang

第一单位： Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA.

作者： Clinton J,Wang ^[1] ; Natalia S,Rost ^[2] ; Polina,Golland ^[1]

作者单位： Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA. ^[1] Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. ^[2]

关键词 Conditional generative adversarial network Image-to-image translation Stroke

DOI 10.1007/978-3-030-59713-9_72

PMID 33615318

发布时间 2024-09-23

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Medical image computing and computer-assisted intervention

2020年12262卷

749-759页

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Medical image computing and computer-assisted intervention

2020年12262卷

749-759页

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Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.

Medical image computing and computer-assisted intervention

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Medical image computing and computer-assisted intervention

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Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.

Medical image computing and computer-assisted intervention

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Medical image computing and computer-assisted intervention

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