A fusion model for single-cell viability assessment based on nuclear geometric feature and Bayesian framework
Authors:
- Hongtian ZengHZHongtian Zeng
- Hao TanHTHao Tan
- Xulun YeXYXulun Ye
- Qingqing ZhangQZQingqing Zhang
- Tingting HaoTHTingting Hao
- Zhiyong GuoZGZhiyong Guo
- 22 May 2026
- journal article
- Published by Elsevier in Measurement
- Vol. 281
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Ningbo Municipality (2024 J476)
- National Natural Science Foundation of China (82273681)
- Natural Science Foundation of Zhejiang Province (LQN26B050007)
This publication has 39 references indexed in Scilit:
- Deep Hierarchical Learning for 3D Semantic SegmentationInternational Journal of Computer Vision, 2025
- Mechanical confinement triggers spreading and migration of immobile cells by deforming nucleusBiomaterials, 2025
- Survival mechanisms of circulating tumor cells and their implications for cancer treatmentCancer and Metastasis Reviews, 2024
- Circulating tumor cells as liquid biopsy markers in cancer patientsMolecular Aspects of Medicine, 2024
- Opportunities and challenges for deep learning in cell dynamics researchTrends in Cell Biology, 2023
- Shear Stress Drives the Cleavage Activation of Protease‐Activated Receptor 2 by PRSS3/Mesotrypsin to Promote Invasion and Metastasis of Circulating Lung Cancer CellsAdvanced Science, 2023
- Deterioration of nuclear morphology and architecture: A hallmark of senescence and agingAgeing Research Reviews, 2021
- A Geometric Understanding of Deep LearningEngineering, 2020
- Circulating Tumor Cells: Magnetic “Squashing” of Circulating Tumor Cells on Plasmonic Substrates for Ultrasensitive NIR Fluorescence Detection (Small Methods 2/2019)Small Methods, 2019
- RNA-Selective, Live Cell Imaging Probes for Studying Nuclear Structure and FunctionChemistry & Biology, 2006