Chen et al. [Chen2022] recently published the article 'Fast and scalable search of whole-slide images via self-supervised deep learning' in Nature Biomedical Engineering. The authors call their method 'self-supervised image search for histology', short SISH. We express our concerns that SISH is an incremental modification of Yottixel, has used MinMax binarization but does not cite the original works, and is based on a misnomer 'self-supervised image search'. As well, we point to several other concerns regarding experiments and comparisons performed by Chen et al.
翻译:翻译的题目:关于“通过自我监督深度学习快速可扩展地搜索整张幻灯片图像”的评论
翻译的摘要:陈等人最近在《自然—生物医学工程》杂志上发表了文章“通过自我监督深度学习快速可扩展地搜索整张幻灯片图像”。作者称其方法为“组织学的自我监督图像搜索”(SISH)。我们对SISH表达了关切,它是Yottixel的逐步修改,使用了MinMax二值化,但未引用原始工作,并基于一个错误的术语“自我监督图像搜索”。此外,我们还指出了陈等人进行的实验和比较方面的几个其他关切。