AIMC Topic: Colorectal Neoplasms

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Detection of Colorectal Carcinoma Based on Microbiota Analysis Using Generalized Regression Neural Networks and Nonlinear Feature Selection.

IEEE/ACM transactions on computational biology and bioinformatics Sep 13, 2018
To obtain a screening tool for colorectal cancer (CRC) based on gut microbiota, we seek here to identify an optimal classifier for CRC detection as well as a novel nonlinear feature selection method for determining the most discriminative microbial s...
Machine Learning Algorithms Female Aged Humans Neural Networks, Computer Feces Bacteria Gastrointestinal Microbiome Metagenome Colorectal Neoplasms Male Middle Aged Diagnosis, Computer-Assisted
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Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning.

Oncology Aug 21, 2018
OBJECTIVE: This study aimed to use convolutional neural network (CNN), a deep learning software, to assist in cT1b diagnosis.
Humans Neoplasm Staging Neural Networks, Computer Colposcopy Machine Learning Colorectal Neoplasms Deep Learning ROC Curve Decision Support Systems, Clinical Area Under Curve
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Application of Artificial Neural Network in miRNA Biomarker Selection and Precise Diagnosis of Colorectal Cancer.

Iranian biomedical journal Jul 30, 2018
BACKGROUND: The early diagnosis of colorectal cancer (CRC) is associated with improved survival rates, and development of novel non-invasive, sensitive, and specific diagnostic tests is highly demanded. The objective of this paper was to identify com...
Humans Neural Networks, Computer MicroRNAs Colorectal Neoplasms Regression Analysis Area Under Curve Biomarkers, Tumor Internet ROC Curve
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Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach.

Medical image analysis Jul 12, 2018
In this paper, we propose a method for automatically annotating slide images from colorectal tissue samples. Our objective is to segment glandular epithelium in histological images from tissue slides submitted to different staining techniques, includ...
Humans Colorectal Neoplasms Biomarkers, Tumor Automation Immunohistochemistry Deep Learning Staining and Labeling Color Image Interpretation, Computer-Assisted
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Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

Gastroenterology Jun 18, 2018
BACKGROUND & AIMS: The benefit of colonoscopy for colorectal cancer prevention depends on the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate, which is estimated to be higher than 50% in the screening-age population. ...
Adenomatous Polyps Video Recording Image Interpretation, Computer-Assisted Observer Variation Colonoscopy Diagnosis, Computer-Assisted ROC Curve Machine Learning Early Detection of Cancer Prognosis Predictive Value of Tests Reproducibility of Results Area Under Curve Colorectal Neoplasms Humans Feasibility Studies Neural Networks, Computer Colonic Polyps
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Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.

Medical image analysis Jun 14, 2018
Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through optical colon...
Phantoms, Imaging Algorithms Tomography, X-Ray Computed Colorectal Neoplasms Animals Colonoscopy Swine Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

International journal of molecular sciences Mar 7, 2018
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to...
Humans Machine Learning Prognosis Reproducibility of Results Colorectal Neoplasms Diagnosis, Differential Biomarkers, Tumor Tandem Mass Spectrometry Case-Control Studies Polyamines Chromatography, Liquid Adenomatous Polyposis Coli
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Support vector machine classifier for prediction of the metastasis of colorectal cancer.

International journal of molecular medicine Jan 2, 2018
Colorectal cancer (CRC) is one of the most common cancers and a major cause of mortality. The present study aimed to identify potential biomarkers for CRC metastasis and uncover the mechanisms underlying the etiology of the disease. The five datasets...
Databases, Genetic Humans Quality Control Neoplasm Metastasis Cell Line, Tumor Protein Interaction Maps Gene Expression Regulation, Neoplastic Reproducibility of Results Support Vector Machine Colorectal Neoplasms Gene Expression Profiling
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Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Endoscopy Dec 22, 2017
BACKGROUND AND STUDY AIMS: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificia...
Heuristics Colorectal Neoplasms Japan Risk Assessment Female Diagnostic Errors Humans Models, Theoretical Unnecessary Procedures Male Aged Lymphatic Metastasis Artificial Intelligence Middle Aged Neoplasm Staging Endoscopy Prognosis Sensitivity and Specificity
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A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Artificial intelligence in medicine Sep 20, 2017
Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early identification are at the heart of the increasing survival rates. To motivate population participation, non-invasive, accurate, scalable and cost-effecti...
Humans Reproducibility of Results Colorectal Neoplasms Biomarkers, Tumor Spectrometry, Fluorescence Case-Control Studies Support Vector Machine Colonic Polyps Early Detection of Cancer Adenomatous Polyps Predictive Value of Tests
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