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：陈等人[Chen2022]近期在《自然生物医学工程》上发表了题为《基于自监督深度学习的全切片图像快速可扩展搜索》的文章。作者将其方法命名为"SISH"（组织学自监督图像搜索）。我们对此提出以下关注：SISH是对Yottixel方法的增量式改进，采用了MinMax二值化技术却未引用原始研究，且"自监督图像搜索"这一命名存在概念误用。此外，我们还指出了陈等人在实验设计与方法比较中存在的其他若干问题。