Deep learning has revolutionized image analysis, but applying it to voluminous and multimodal images can be challenging. The authors propose a neural network approach with a modality sampling strategy and an attention module for segmentation in fluorescence microscopy images.
- Alvaro Gomariz
- Tiziano Portenier
- Orcun Goksel
