论文标题
评估有丝分裂时，无环形图的限制是匹配细胞跟踪精度度量的限制
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis
论文作者
论文摘要
生物医学图像分析中计算机视觉和细胞跟踪中的多对象跟踪（MOT）是两个相似的研究字段，其共同的目的是实现实例对象检测/分割/分割，并在不同的视频框架上关联此类对象。但是，这两个任务之间的一个主要区别是细胞跟踪还旨在检测有丝分裂（细胞分裂），这通常在MOT任务中不考虑。因此，与计算机视觉中的评估指标（例如多个对象跟踪精度（MOTA），ID开关（IDS），ID F1分数（IDF1）等，基于我们的实验，我们并未达到预期的事件，因此，无环的图形匹配（AOGM）已用作细胞跟踪的事实上标准评估指标，而不是直接使用计算机视觉中的评估指标，例如多个对象跟踪（MOTA），ID F1分数（IDF1）等。在本文中，我们使用模拟和真实的细胞跟踪数据表现出用AOGM评估有丝分裂的局限性。
Multi-object tracking (MOT) in computer vision and cell tracking in biomedical image analysis are two similar research fields, whose common aim is to achieve instance level object detection/segmentation and associate such objects across different video frames. However, one major difference between these two tasks is that cell tracking also aim to detect mitosis (cell division), which is typically not considered in MOT tasks. Therefore, the acyclic oriented graphs matching (AOGM) has been used as de facto standard evaluation metrics for cell tracking, rather than directly using the evaluation metrics in computer vision, such as multiple object tracking accuracy (MOTA), ID Switches (IDS), ID F1 Score (IDF1) etc. However, based on our experiments, we realized that AOGM did not always function as expected for mitosis events. In this paper, we exhibit the limitations of evaluating mitosis with AOGM using both simulated and real cell tracking data.
