AIMC Topic: Colon

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Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

PLoS medicine Jan 24, 2019
BACKGROUND: For virtually every patient with colorectal cancer (CRC), hematoxylin-eosin (HE)-stained tissue slides are available. These images contain quantitative information, which is not routinely used to objectively extract prognostic biomarkers....
Prognosis Retrospective Studies Female Colorectal Neoplasms Humans Coloring Agents Image Interpretation, Computer-Assisted Male Eosine Yellowish-(YS) Hematoxylin Colon Deep Learning Rectum
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Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 23, 2018
BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) according to time to colonoscopy after positive fecal immunochemical test (FIT), fecal hemoglobin concentration, and combination of both.
Occult Blood Female Hemoglobins Aged Feces Middle Aged Time-to-Treatment Colorectal Neoplasms Humans Logistic Models Risk Assessment Male Multivariate Analysis Republic of Korea Colon Early Detection of Cancer Colonoscopy Neoplasm Staging
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Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

IEEE transactions on medical imaging Nov 26, 2018
Hyperspectral imaging (HSI) of tissue samples in the mid-infrared (mid-IR) range provides spectro-chemical and tissue structure information at sub-cellular spatial resolution. Disease states can be directly assessed by analyzing the mid-IR spectra of...
Image Interpretation, Computer-Assisted Colon Humans Optical Imaging Image Processing, Computer-Assisted Spectrophotometry, Infrared Cluster Analysis Colonic Diseases Supervised Machine Learning
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Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.

IEEE transactions on medical imaging Nov 2, 2018
Histopathological examination is today's gold standard for cancer diagnosis. However, this task is time consuming and prone to errors as it requires a detailed visual inspection and interpretation of a pathologist. Digital pathology aims at alleviati...
Unsupervised Machine Learning Image Interpretation, Computer-Assisted Histocytochemistry Humans Algorithms Colon Deep Learning
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Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

Gastrointestinal endoscopy Sep 27, 2018
BACKGROUND AND AIMS: In the treatment of ulcerative colitis (UC), an incremental benefit of achieving histologic healing beyond that of endoscopic mucosal healing has been suggested; persistent histologic inflammation increases the risk of exacerbati...
Intestinal Mucosa Rectum Automation Colonoscopy Diagnosis, Computer-Assisted Inflammation Colitis, Ulcerative Algorithms Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Colon Humans Artificial Intelligence Machine Learning
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Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Physics in medicine and biology Sep 13, 2018
Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data with high-quality annotations that is necessary for training such met...
Humans Colon Swine Deep Learning Light Neural Networks, Computer Tomography, X-Ray Computed Endoscopy Animals Image Interpretation, Computer-Assisted Photography
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In vitro colonic fermentation of Mexican "taco" from corn-tortilla and black beans in a Simulator of Human Microbial Ecosystem (SHIME®) system.

Food research international (Ottawa, Ont.) Jun 2, 2018
A Mexican staple food prepared with corn "tortilla" (Zea mays L.) and common beans (Phaseolus vulgaris L.) is named as "taco". It was fermented in an in vitro colonic Simulator of Human Microbial Ecosystem (SHIME®) to evaluate the effect in short cha...
Gram-Negative Bacteria Propionates Acetates Bread Humans Gastrointestinal Microbiome Fermentation Ecosystem Lactobacillus Ammonia Colon Zea mays Bifidobacterium Butyrates Fatty Acids, Volatile Clostridium Fabaceae
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Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience.

Gastroenterology Apr 11, 2018
Medical Errors Female Aged Male Adenoma Middle Aged Colonic Neoplasms Humans Colonic Polyps Artificial Intelligence Colon Colonoscopy Pilot Projects Image Processing, Computer-Assisted
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Autonomously Controlled Magnetic Flexible Endoscope for Colon Exploration.

Gastroenterology Mar 9, 2018
Female Animals Colon Colonoscopy Colonic Diseases Swine Colonoscopes Disease Models, Animal Robotics Equipment Design
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Full-driving soft robotic colonoscope in compliant colon tissue.

Journal of medical engineering & technology Nov 9, 2017
Robotic colonoscopy is an efficient examination method for finding malignant tumour in its early stage. This research developed a novel robotic endoscope with 13 mm diameter, 105 mm length and 22.3 g weight. A contact biomechanical model is proposed ...
Colonoscopy Swine Robotics Equipment Design Humans Animals Colon
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