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Found 2 papers, 2 papers with code
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos
Compared to manual blood cell counting, CycleTrack achieves 96. 58 $\pm$ 2. 43% cell counting accuracy among 8 test videos with 1000 frames each compared to 93. 45% and 77. 02% accuracy for independent CenterTrack and SORT almost without additional time expense.
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
However, CNNs require large amounts of labeled histopathology data.
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