The search and retrieval of digital histopathology slides is an important task that has yet to be solved. In this case study, we investigate the clinical readiness of three state-of-the-art histopathology slide search engines, Yottixel, SISH, and RetCCL, on three patients with solid tumors. We provide a qualitative assessment of each model's performance in providing retrieval results that are reliable and useful to pathologists. We found that all three image search engines fail to produce consistently reliable results and have difficulties in capturing granular and subtle features of malignancy, limiting their diagnostic accuracy. Based on our findings, we also propose a minimal set of requirements to further advance the development of accurate and reliable histopathology image search engines for successful clinical adoption.

本文通过调查三款最先进的组织病理学幻灯片搜索引擎，对三种实体肿瘤患者的搜索和提取进行了临床评估，发现当前搜索引擎在识别病理学上仍存在困难，因此提出了一些最小化的要求，旨在进一步促进准确和可靠的医学组织病理学图像搜索引擎的发展。

组织病理学切片索引与搜索：已到达目的地吗？