IEEE J Biomed Health Inform. 2024 Mar;28(3):1161-1172. doi: 10.1109/JBHI.2023.3327489. Epub 2024 Mar 6.
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held in conjunction with the MICCAI 2019 Conference in Shenzhen (China). The competition required participants to automatically assess the number of lymphocytes, in particular T-cells, in images of colon, breast, and prostate cancer stained with CD3 and CD8 immunohistochemistry. Differently from other challenges setup in medical image analysis, LYSTO participants were solely given a few hours to address this problem. In this paper, we describe the goal and the multi-phase organization of the hackathon; we describe the proposed methods and the on-site results. Additionally, we present post-competition results where we show how the presented methods perform on an independent set of lung cancer slides, which was not part of the initial competition, as well as a comparison on lymphocyte assessment between presented methods and a panel of pathologists. We show that some of the participants were capable to achieve pathologist-level performance at lymphocyte assessment. After the hackathon, LYSTO was left as a lightweight plug-and-play benchmark dataset on grand-challenge website, together with an automatic evaluation platform.
我们介绍了 LYSTO，这是一个与 2019 年在深圳举行的 MICCAI 会议同时举行的淋巴细胞评估黑客马拉松。该竞赛要求参与者自动评估 CD3 和 CD8 免疫组织化学染色的结肠癌、乳腺癌和前列腺癌图像中的淋巴细胞数量，特别是 T 细胞。与医学图像分析中设置的其他挑战不同，LYSTO 参与者只有几个小时的时间来解决这个问题。在本文中，我们描述了黑客马拉松的目标和多阶段组织；我们描述了提出的方法和现场结果。此外，我们还展示了竞赛后的结果，展示了所提出的方法在一组独立的肺癌幻灯片上的表现，这些幻灯片不属于初始竞赛的一部分，以及所提出的方法与一组病理学家在淋巴细胞评估方面的比较。我们表明，一些参与者能够在淋巴细胞评估方面达到病理学家的水平。黑客马拉松结束后，LYSTO 作为一个轻量级的即插即用基准数据集留在了大型挑战网站上，并配备了自动评估平台。
