U-Net: deep learning for cell counting, detection, and morphometry

NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells

DeepCAN: A Modular Deep Learning System for Automated Cell

Assessment of deep learning algorithms for 3D instance

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Seg2Link: an efficient and versatile solution for semi-automatic

Democratising deep learning for microscopy with ZeroCostDL4Mic

MARS-Net: Deep learning-based segmentation pipeline for profiling

DeepCAN: A Modular Deep Learning System for Automated Cell

U-Net: deep learning for cell counting, detection, and morphometry

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DeepCAN: A Modular Deep Learning System for Automated Cell

MCA-UNet: multi-scale cross co-attentional U-Net for automatic

Frontiers Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology

The U-Net architecture in the example of a 2D cell segmentation