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REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Song, Zhiyun, Zhao, Yinjie, Li, Xiaomin, Fei, Manman, Zhao, Xiangyu, Liu, Mengjun, Chen, Cunjian, Yeh, Chung-Hsing, Wang, Qian, Zheng, Guoyan, Ai, Songtao, Zhang, Lichi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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