Found: 18
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High‐content video flow cytometry with digital cell filtering for label‐free cell classification by machine learning.
- Published in:
- Cytometry. Part A, 2023, v. 103, n. 4, p. 325, doi. 10.1002/cyto.a.24701
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- Publication type:
- Article
Differentiating single cervical cells by mitochondrial fluorescence imaging and deep learning‐based label‐free light scattering with multi‐modal static cytometry.
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- Cytometry. Part A, 2023, v. 103, n. 3, p. 240, doi. 10.1002/cyto.a.24684
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- Publication type:
- Article
A mini review of recent development of flow cytometry in China.
- Published in:
- Cytometry. Part A, 2022, v. 101, n. 8, p. 614, doi. 10.1002/cyto.a.24671
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- Publication type:
- Article
A microfluidic cytometer for white blood cell analysis.
- Published in:
- Cytometry. Part A, 2021, v. 99, n. 11, p. 1107, doi. 10.1002/cyto.a.24487
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- Publication type:
- Article
Quantitative single‐cell optical technologies.
- Published in:
- Cytometry. Part A, 2021, v. 99, n. 6, p. 557, doi. 10.1002/cyto.a.24463
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- Publication type:
- Article
Light scattering pattern specific convolutional network static cytometry for label‐free classification of cervical cells.
- Published in:
- Cytometry. Part A, 2021, v. 99, n. 6, p. 610, doi. 10.1002/cyto.a.24349
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- Publication type:
- Article
Deep Learning‐Based Single‐Cell Optical Image Studies.
- Published in:
- Cytometry. Part A, 2020, v. 97, n. 3, p. 226, doi. 10.1002/cyto.a.23973
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- Publication type:
- Article
Cytometry and Prevalent Cancers in Asia.
- Published in:
- Cytometry. Part A, 2020, v. 97, n. 1, p. 11, doi. 10.1002/cyto.a.23959
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- Publication type:
- Article
Two‐Dimensional Light Scattering Anisotropy Cytometry for Label‐Free Classification of Ovarian Cancer Cells via Machine Learning.
- Published in:
- Cytometry. Part A, 2020, v. 97, n. 1, p. 24, doi. 10.1002/cyto.a.23865
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- Publication type:
- Article
Automatic Classification of Label‐Free Cells from Small Cell Lung Cancer and Poorly Differentiated Lung Adenocarcinoma with 2D Light Scattering Static Cytometry and Machine Learning.
- Published in:
- Cytometry. Part A, 2019, v. 95, n. 3, p. 302, doi. 10.1002/cyto.a.23671
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- Article
Cytometry Advancement: A Perspective from China.
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- 2016
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- Publication type:
- Editorial
Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach.
- Published in:
- Frontiers in Oncology, 2020, v. 10, p. N.PAG, doi. 10.3389/fonc.2020.01353
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- Publication type:
- Article
Introduction to special issue on single cell analysis (Part II).
- Published in:
- Journal of Innovative Optical Health Sciences, 2023, v. 16, n. 3, p. 1, doi. 10.1142/S1793545823020030
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- Publication type:
- Article
Introduction to special issue on single cell analysis.
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- Journal of Innovative Optical Health Sciences, 2023, v. 16, n. 2, p. 1, doi. 10.1142/S1793545823020029
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- Publication type:
- Article
Enhanced effect of photodynamic therapy in ovarian cancer using a nanoparticle drug delivery system.
- Published in:
- International Journal of Oncology, 2015, v. 47, n. 3, p. 1070, doi. 10.3892/ijo.2015.3079
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- Publication type:
- Article
Risk Stratification of Early-Stage Cervical Cancer with Intermediate-Risk Factors: Model Development and Validation Based on Machine Learning Algorithm.
- Published in:
- Oncologist, 2021, v. 26, n. 12, p. e2217, doi. 10.1002/onco.13956
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- Publication type:
- Article
2D light scattering static cytometry for label-free single cell analysis with submicron resolution.
- Published in:
- Cytometry. Part A, 2015, v. 87, n. 11, p. 1029, doi. 10.1002/cyto.a.22713
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- Publication type:
- Article
Hypocrellin B‐loaded, folate‐conjugated polymeric micelle for intraperitoneal targeting of ovarian cancer in vitro and in vivo.
- Published in:
- Cancer Science, 2018, v. 109, n. 6, p. 1958, doi. 10.1111/cas.13605
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- Publication type:
- Article