Chengqiang Yi

Dec 25, 2023 | biorxiv.org | Yifan Ma |Chengqiang Yi |Yao Zhou |ZhaoFei Wang

AbstractWith the rapid development in advanced imaging techniques, massive image data have been acquired for various biomedical applications, posing significant challenges to their efficient storage, transmission, and sharing. Classical model- or learning-based compression algorithms are optimized for specific dimensional data and neglect the semantic redundancy in multidimensional biomedical data, resulting limited compression performance.

Aug 23, 2023 | biorxiv.org | Yifan Ma |Chengqiang Yi |Yao Zhou |Shimeng Gao

AbstractWith the rapid development in advanced bioimaging techniques, numerous image data has been generated for various high-throughput applications, which pose big challenges to efficient storage, transmission and sharing of these data. Traditional compression techniques and current deep learning-based compression methods lack the elimination of semantic redundancy on multidimensional biomedical data containing high dynamic range and complex structural features.