论文标题
需要在胃肠病学中进行医学意识的视频压缩
The Need for Medically Aware Video Compression in Gastroenterology
论文作者
论文摘要
压缩对于存储和传输医疗视频至关重要，但是压缩对下游医疗任务的影响通常被忽略。此外，实践中的系统依赖于标准视频编解码器，这些视频编解码器天真地分配了与医学相关的框架或部分框架之间的位置。在这项工作中，我们介绍了对胃肠病学视频的一些经典编解码器缺陷的实证研究，并激发了我们正在进行的工作，以培训学习结肠镜检查视频的学习压缩模型。我们表明，H264和HEVC的两个最常用的编解码器在统计学上比医学上的非偏移率明显差，并且随着压缩的增加，息肉检测器的性能迅速降解。我们解释了学识渊博的压缩机如何将位分配给重要区域，并允许检测性能更优雅地降解。我们的许多提议的技术概括了胃肠病学之外的医学视频域
Compression is essential to storing and transmitting medical videos, but the effect of compression on downstream medical tasks is often ignored. Furthermore, systems in practice rely on standard video codecs, which naively allocate bits between medically relevant frames or parts of frames. In this work, we present an empirical study of some deficiencies of classical codecs on gastroenterology videos, and motivate our ongoing work to train a learned compression model for colonoscopy videos. We show that two of the most common classical codecs, H264 and HEVC, compress medically relevant frames statistically significantly worse than medically nonrelevant ones, and that polyp detector performance degrades rapidly as compression increases. We explain how a learned compressor could allocate bits to important regions and allow detection performance to degrade more gracefully. Many of our proposed techniques generalize to medical video domains beyond gastroenterology
