A Machine Learning Approach for Identification of Head and Neck Squamous Cell Carcinoma

2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007) ◽

10.1109/bibm.2007.57 ◽

2007 ◽

Cited By ~ 1

Author(s):

Mutlu Mete ◽

Xiaowei Xu ◽

Chun-Yang Fan ◽

Gal Shafirstein

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma ◽

Learning Approach ◽

Machine Learning Approach

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Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning

Medical Imaging 2021: Digital Pathology ◽

10.1117/12.2582330 ◽

2021 ◽

Author(s):

Ximing Zhou ◽

Ling Ma ◽

Walliam Brown ◽

James Little ◽

Amy Chen ◽

...

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Hyperspectral Imaging ◽

Squamous Cell ◽

Automatic Detection ◽

Neck Squamous Cell Carcinoma

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Machine Learning Models Predict the Primary Sites of Head and Neck Squamous Cell Carcinoma Metastases Based on DNA Methylation

The Journal of Pathology ◽

10.1002/path.5845 ◽

2021 ◽

Author(s):

Maximilian Leitheiser ◽

David Capper ◽

Philipp Seegerer ◽

Annika Lehmann ◽

Ulrich Schüller ◽

...

Keyword(s):

Machine Learning ◽

Dna Methylation ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma ◽

Learning Models ◽

Machine Learning Models

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Machine learning with the cancer genome atlas head and neck squamous cell carcinoma dataset

10.17077/etd.37hw-o12m ◽

2019 ◽

Author(s):

Michael Rendleman

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Cancer Genome ◽

Neck Squamous Cell Carcinoma ◽

The Cancer Genome Atlas ◽

Cancer Genome Atlas ◽

Genome Atlas

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Using Mathematical Modeling and Machine Learning to Optimize Individualized Radiation Response in Head and Neck Squamous Cell Carcinoma Patients

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2019.11.167 ◽

2020 ◽

Vol 106 (5) ◽

pp. 1169

Author(s):

T. Zhang ◽

V. Takiar

Keyword(s):

Mathematical Modeling ◽

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma ◽

Radiation Response

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Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis

Cancer Biomarkers ◽

10.3233/cbm-190694 ◽

2020 ◽

Vol 27 (2) ◽

pp. 195-206 ◽

Cited By ~ 4

Author(s):

Ying Hu ◽

Geyang Guo ◽

Junjun Li ◽

Jie Chen ◽

Pingqing Tan

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Network Analysis ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Prognostic Value ◽

Neck Squamous Cell Carcinoma ◽

Diagnostic And Prognostic Value

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Automatic discrimination of Yamamoto-Kohama classification by machine learning approach for invasive pattern of oral squamous cell carcinoma using digital microscopic images: A retrospective study

Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ◽

10.1016/j.oooo.2021.10.004 ◽

2021 ◽

Author(s):

Kunio Yoshizawa ◽

Hidetoshi Ando ◽

Yujiro Kimura ◽

Shuichi Kawashiri ◽

Hiroshi Yokomichi ◽

...

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Retrospective Study ◽

Oral Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Learning Approach ◽

Microscopic Images ◽

Machine Learning Approach

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Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of “Junk Genes” in Biomedical Practice

DNA and Cell Biology ◽

10.1089/dna.2019.5272 ◽

2020 ◽

Vol 39 (4) ◽

pp. 709-723 ◽

Cited By ~ 3

Author(s):

Lu Xing ◽

Xiaoqi Zhang ◽

Mingzhu Guo ◽

Xiaoqian Zhang ◽

Feng Liu

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma

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Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning

Medical Imaging 2020: Digital Pathology ◽

10.1117/12.2549369 ◽

2020 ◽

Author(s):

Ling Ma ◽

Martin Halicek ◽

Ximing Zhou ◽

James D. Dormer ◽

Baowei Fei

Keyword(s):

Machine Learning ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Automatic Detection ◽

Neck Squamous Cell Carcinoma ◽

Microscopic Imaging

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Circulating vascular endothelial growth factor in patients with head and neck squamous cell carcinoma

Clinical Otolaryngology ◽

10.1046/j.1365-2273.1999.00254-10.x ◽

1999 ◽

Vol 24 (4) ◽

pp. 377-383

Author(s):

J. J. Homer ◽

J. Greenman ◽

S. R. Ell ◽

N. D. Stafford

Keyword(s):

Vascular Endothelial Growth Factor ◽

Squamous Cell Carcinoma ◽

Growth Factor ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma ◽

Vascular Endothelial ◽

Endothelial Growth Factor

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Radioprotective effect of amifostine in patients with head and neck squamous cell carcinoma

Seminars in Oncology ◽

10.1053/sonc.2002.37349 ◽

2002 ◽

Vol 29 (6 Suppl 19) ◽

pp. 61-62 ◽

Cited By ~ 28

Author(s):

Jean Bourhis ◽

Dominique Rosine

Keyword(s):

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Radioprotective Effect ◽

Neck Squamous Cell Carcinoma

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