U-Net: deep learning for cell counting, detection, and morphometry
Por um escritor misterioso
Last updated 12 fevereiro 2025
![U-Net: deep learning for cell counting, detection, and morphometry](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41592-018-0261-2/MediaObjects/41592_2018_261_Fig1_HTML.png)
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.frontiersin.org/files/Articles/1002327/fgene-13-1002327-HTML-r1/image_m/fgene-13-1002327-g004.jpg)
Frontiers Pixel-level multimodal fusion deep networks for
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.mdpi.com/applsci/applsci-11-04912/article_deploy/html/images/applsci-11-04912-g001-550.jpg)
Applied Sciences, Free Full-Text
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.eneuro.org/content/eneuro/10/9/ENEURO.0148-23.2023/F8.large.jpg)
A Deep Learning Approach for Neuronal Cell Body Segmentation in
![U-Net: deep learning for cell counting, detection, and morphometry](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41598-021-02683-4/MediaObjects/41598_2021_2683_Fig1_HTML.png)
A machine learning pipeline revealing heterogeneous responses to
![U-Net: deep learning for cell counting, detection, and morphometry](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-019-49431-3/MediaObjects/41598_2019_49431_Fig1_HTML.png)
Deep-Learning-Based Segmentation of Small Extracellular Vesicles
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.biorxiv.org/content/biorxiv/early/2019/08/28/749754/F9.large.jpg)
NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing
![U-Net: deep learning for cell counting, detection, and morphometry](https://ars.els-cdn.com/content/image/1-s2.0-S2472630322011293-gr1.jpg)
U-Net Deep-Learning-Based 3D Cell Counter for the Quality Control
![U-Net: deep learning for cell counting, detection, and morphometry](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41592-018-0261-2/MediaObjects/41592_2018_261_Fig2_HTML.png)
U-Net: deep learning for cell counting, detection, and morphometry
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.biorxiv.org/content/biorxiv/early/2021/04/05/191858/F2.large.jpg)
MARS-Net: Deep learning-based segmentation pipeline for profiling
![U-Net: deep learning for cell counting, detection, and morphometry](https://www.frontiersin.org/files/Articles/509500/fphy-07-00247-HTML/image_m/fphy-07-00247-g001.jpg)
Frontiers Applications and Challenges of Machine Learning to
![U-Net: deep learning for cell counting, detection, and morphometry](https://dl.acm.org/cms/attachment/html/10.1145/3494885.3494947/assets/html/images/image22.png)
Landslide Recognition Based on the Improved U-net
Automated yeast cells segmentation and counting using a parallel U
![U-Net: deep learning for cell counting, detection, and morphometry](https://onlinelibrary.wiley.com/cms/asset/bccc6601-2648-45fd-a0d3-2450c7f52be3/cytoa23863-fig-0001-m.jpg)
Evaluation of Deep Learning Strategies for Nucleus Segmentation in
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