Bacteria tracking and life cycle state classification using graph neural networks and pretrained vision transformers.
This work proposes a unified framework based on Graph Neural Networks for simultaneous bacteria tracking, division detection, and life cycle state classification and introduces a network-based approach for segmentation error correction using division and multi-frame correspondence predictions.
Moritz Kunzmann, M. C. Elizondo-Cantú, I. Bischofs et al.
· Medical Image Analysis · 0 citations