AIMC Topic: Carcinoma, Squamous Cell

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Survival outcome prediction in cervical cancer: Cox models vs deep-learning model.

American journal of obstetrics and gynecology Dec 21, 2018
BACKGROUND: Historically, the Cox proportional hazard regression model has been the mainstay for survival analyses in oncologic research. The Cox proportional hazard regression model generally is used based on an assumption of linear association. How...
Proportional Hazards Models Adenocarcinoma Neoplasm Staging Progression-Free Survival Survival Analysis Female Carcinoma, Squamous Cell Adult Uterine Cervical Neoplasms Middle Aged Risk Assessment Comorbidity Deep Learning Pilot Projects Humans Retrospective Studies
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Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study.

Head & neck Dec 12, 2018
BACKGROUND: A fully convolutional neural networks (FCN)-based automated image analysis algorithm to discriminate between head and neck cancer and noncancerous epithelium based on nonlinear microscopic images was developed.
Spectrum Analysis, Raman Humans Head and Neck Neoplasms Neural Networks, Computer Discriminant Analysis Carcinoma, Squamous Cell Algorithms Epithelium Fluorescence Prospective Studies Microscopy Pilot Projects Image Processing, Computer-Assisted
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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
Humans Neural Networks, Computer Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Artificial Intelligence Retrospective Studies Female Carcinoma, Squamous Cell Esophageal Neoplasms Diagnosis, Computer-Assisted Japan Deep Learning Tumor Burden Adenocarcinoma Predictive Value of Tests
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Automatic identification of clinically relevant regions from oral tissue histological images for oral squamous cell carcinoma diagnosis.

Tissue & cell Jun 28, 2018
Identification of various constituent layers such as epithelial, subepithelial, and keratin of oral mucosa and characterization of keratin pearls within keratin region as well, are the important and mandatory tasks for clinicians during the diagnosis...
Male Image Processing, Computer-Assisted Mouth Neoplasms Humans Neural Networks, Computer Female Carcinoma, Squamous Cell
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Targeted bisulfite sequencing identified a panel of DNA methylation-based biomarkers for esophageal squamous cell carcinoma (ESCC).

Clinical epigenetics Dec 15, 2017
BACKGROUND: DNA methylation has been implicated as a promising biomarker for precise cancer diagnosis. However, limited DNA methylation-based biomarkers have been described in esophageal squamous cell carcinoma (ESCC).
Pseudogenes Repressor Proteins Serine-Threonine Kinase 3 Esophageal Neoplasms CpG Islands Middle Aged Promoter Regions, Genetic Logistic Models Esophageal Squamous Cell Carcinoma Aged Epigenesis, Genetic Humans Sequence Analysis, DNA Sensitivity and Specificity Databases, Genetic Machine Learning DNA Methylation Biomarkers, Tumor Female Early Detection of Cancer Male Carcinoma, Squamous Cell Protein Serine-Threonine Kinases DNA-Binding Proteins
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Construction of mass spectra database and diagnosis algorithm for head and neck squamous cell carcinoma.

Oral oncology Nov 10, 2017
OBJECTIVES: Intraoperative identification of tumor margins is essential to achieving complete tumor resection. However, the process of intraoperative pathological diagnosis involves cumbersome procedures, such as preparation of cryosections and micro...
Aged Aged, 80 and over Male Middle Aged Case-Control Studies Squamous Cell Carcinoma of Head and Neck Algorithms Head and Neck Neoplasms Databases, Factual Intraoperative Period Humans Carcinoma, Squamous Cell Machine Learning Spectrometry, Mass, Electrospray Ionization Reproducibility of Results
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Cervical cancer histology image identification method based on texture and lesion area features.

Computer assisted surgery (Abingdon, England) Oct 16, 2017
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise o...
Immunohistochemistry Histological Techniques Female Carcinoma, Squamous Cell Uterine Cervical Neoplasms Humans Support Vector Machine Adenocarcinoma Algorithms Cluster Analysis Feasibility Studies Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Serum levels of chemical elements in esophageal squamous cell carcinoma in Anyang, China: a case-control study based on machine learning methods.

BMJ open Sep 24, 2017
OBJECTIVES: Esophageal squamous cell carcinoma (ESCC) is the predominant form of esophageal carcinoma with extremely aggressive nature and low survival rate. The risk factors for ESCC in the high-incidence areas of China remain unclear. We used machi...
Case-Control Studies Selenium Zinc Copper Humans Esophageal Neoplasms Machine Learning Esophageal Squamous Cell Carcinoma Risk Factors Retrospective Studies Biomarkers, Tumor Female Male Carcinoma, Squamous Cell Middle Aged Reproducibility of Results
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Scientific reports Sep 20, 2017
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late ...
Humans Automation, Laboratory Carcinoma, Squamous Cell Endoscopy Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Mouth Neoplasms Mouth Microscopy
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Utilization of a 3D printer to fabricate boluses used for electron therapy of skin lesions of the eye canthi.

Journal of applied clinical medical physics Nov 30, 2016
This work describes the use of 3D printing technology to create individualized boluses for patients treated with electron beam therapy for skin lesions of the eye canthi. It aimed to demonstrate the effectiveness of 3D-printed over manually fabricate...
Humans Carcinoma, Basal Cell Quality Assurance, Health Care Carcinoma, Squamous Cell Printing, Three-Dimensional Eye Diseases Skin Diseases Radiotherapy Dosage Electrons
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