The annual IEEE 5-Minute Video Clip Contest (5-MICC) was launched in 2020 by the IEEE Signal Processing Society (SPS), and the selected topic for the competition at IEEE ICIP 2021 was “Automatic Medical Image Diagnosis.” The organizing committee selected three finalist videos and placed them online for public voting. The first one addresses a deep learning system that targets enhancement and disease diagnostic in otoscopy images, the second concerns the use of neural networks for cancer detection in tissue scans, and the third deals with a deep learning tool for automatic COVID-19 diagnosis. Taking the public voting results from more than 1,300 participants into consideration, the panel of judges decided the final rankings of the three videos. This article presents an overview of this virtual edition of the 5-MICC at ICIP 2021, describing the competition setup, the teams, and their approaches.

中文翻译：

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自动医学图像诊断：2021 年 IEEE 5 分钟视频剪辑大赛的亮点 [SP 竞赛]

一年一度的 IEEE 5 分钟视频剪辑竞赛 (5-MICC) 由 IEEE 信号处理协会 (SPS) 于 2020 年发起，IEEE ICIP 2021 的竞赛主题为“自动医学图像诊断”。组委会选择了三个入围视频，并将它们放到网上进行公众投票。第一个解决了针对耳镜图像中的增强和疾病诊断的深度学习系统，第二个涉及在组织扫描中使用神经网络进行癌症检测，第三个涉及用于自动 COVID-19 诊断的深度学习工具。评委会综合考虑了 1300 多名参与者的公众投票结果，决定了三个视频的最终排名。本文概述了 ICIP 2021 上的 5-MICC 虚拟版本，