MaxSigNet: Light learnable layer for semantic cell segmentation-Reference-Cited by-同舟云学术

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MaxSigNet: Light learnable layer for semantic cell segmentation

Published:2024-09 Issue: Volume:95 Page:106464
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Yazdi Reza,Khotanlou Hassan^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination;Ju;Biomed. Signal Process. Control,2023

2. Imaging the unimaginable: leveraging signal generation of CRISPR-Cas for sensitive genome imaging;Van Tricht;Trends Biotechnol.,2023

3. OrganoidTracker: Efficient cell tracking using machine learning and manual error correction;Kok;PLoS One,2020

4. Segmentation and Tracking of Cells and Particles in Time-Lapse Microscopy;Magnusson,2016

5. Artificial intelligence for cell segmentation, event detection, and tracking for label-free microscopy imaging;Maddalena;Algorithms,2022

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