Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
L. Pagano, G. Thibault, W. Bousselham, J. L. Riesterer, X. Song, J. W. Gray
The paper compares deep learning models for segmenting nuclei and nucleoli in cancer EM images using sparse labels and semi-supervised learning, showing improvements in 3D Dice scores.
bioRxiv · Oct 30, 2023Bioengineering