Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy
  Measure when Evaluating Mitosis   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.

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The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph