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An unsupervised long short-term memory neural network for event detection in cell videos
[article]
2017
arXiv
pre-print
We propose an automatic unsupervised cell event detection and classification method, which expands convolutional Long Short-Term Memory (LSTM) neural networks, for cellular events in cell video sequences. Cells in images that are captured from various biomedical applications usually have different shapes and motility, which pose difficulties for the automated event detection in cell videos. Current methods to detect cellular events are based on supervised machine learning and rely on tedious
arXiv:1709.02081v1
fatcat:7vscp3z4jjge3ka7yjeteseffm