Nov. 8, 2022, 2:15 a.m. | Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai

cs.CV updates on arXiv.org arxiv.org

Massive collection and explosive growth of the huge amount of medical data,
demands effective compression for efficient storage, transmission and sharing.
Readily available visual data compression techniques have been studied
extensively but tailored for nature images/videos, and thus show limited
performance on medical data which are of different characteristics. Emerging
implicit neural representation (INR) is gaining momentum and demonstrates high
promise for fitting diverse visual data in target-data-specific manner, but a
general compression scheme covering diverse medical data is so …

arxiv biomedical compression data neural compression

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