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

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

Frontiers Pixel-level multimodal fusion deep networks for

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

Image-segmentation networks (U-Net and StarDist) a, b Example of

ArtSeg—Artifact segmentation and removal in brightfield cell

Using optimal transport theory to optimize a deep convolutional

1904.08128] Automated Design of Deep Learning Methods for

DeepCAN: A Modular Deep Learning System for Automated Cell

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

PDF] Deep Learning and Transfer Learning for Automatic Cell

Application of segmentation U-Net to human kidney biopsies. (A

DEEP LEARNING FOR SEGMENTATION AND COUNTING OF WHITE BLOOD CELLS IN CLINICAL DIAGNOSIS

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

NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing