Data compression forms a central role in handling the bottleneck of data storage,
transmission and processing. Lossless compression requires reducing the file size whilst …

Deep learning-based lossless compression methods offer substantial advantages in
compressing medical volumetric images. Nevertheless, many learning-based algorithms …

As scanners produce higher-resolution and more densely sampled images, this raises the
challenge of data storage, transmission and communication within healthcare systems …

Recent achievements of sequence prediction models in numerous domains, including
compression, provide great potential for novel learning-based codecs. In such models, the …

In the field of medicine, the rapid advancement of medical technology has significantly
increased the speed of medical image generation, compelling us to seek efficient methods …

Modern imaging modalities generate large volumes of medical data that place a heavy
burden on both storage and transmission. Consequently, image data compression is a key …

3D volumetric image processing has attracted increasing attention in the last decades, in
which one major research area is to develop efficient lossless volumetric image …

Volumetric image compression has become an urgent task to effectively transmit and store
images produced in biological research and clinical practice. At present, the most commonly …

In the advent of a digital health revolution, vast amounts of clinical data are being generated,
stored and processed on a daily basis. This has made the storage and retrieval of large …

The amount of volumetric brain image increases rapidly, which requires a vast amount of
resources for storage and transmission, so it's urgent to explore an efficient volumetric …