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

U-Net Deep-Learning-Based 3D Cell Counter for the Quality Control

Computer Vision Group, Freiburg

PDF] Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

Deep learning for high-throughput quantification of

LIVECell—A large-scale dataset for label-free live cell

Applied Sciences, Free Full-Text

Misic, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities

U-Net Deep-Learning-Based 3D Cell Counter for the Quality Control

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

Applied Sciences, Free Full-Text

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

DeepCAN: A Modular Deep Learning System for Automated Cell

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

Frontiers Boosting Multilabel Semantic Segmentation for Somata

Generalising from conventional pipelines using deep learning in high-throughput screening workflows