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

Evaluating Very Deep Convolutional Neural Networks for Nucleus

DeepBacs for multi-task bacterial image analysis using open-source

High-throughput label-free cell detection and counting from

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

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

An improved U-Net network-based quantitative analysis of melon fruit phenotypic characteristics

media.springer/full/springer-static/imag

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

The U-Net for cell segmentation in PyTorch

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

DeepScratch: Single-cell based topological metrics of scratch