  Accurate classification of apoptosis plays an important role in cell biology
research. There are many state-of-the-art approaches which use deep CNNs to
perform the apoptosis classification but these approaches do not account for
the cell interaction. Our paper proposes the Attention Graph spatio-temporal
graph convolutional network to classify the cell death based on the target
cells in the video. This method considers the interaction of multiple target
cells at each time stamp. We model the whole video sequence as a set of graphs
and classify the target cell in the video as dead or alive. Our method
encounters both spatial and temporal relationships.
