AIMC Topic: Feces

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Leukocyte recognition in human fecal samples using texture features.

Journal of the Optical Society of America. A, Optics, image science, and vision Nov 1, 2018
Unlike urine or blood samples with a single background, human fecal samples contain large amounts of food debris, amorphous particles, and undigested plant cells. It is difficult to segment such impurities when mixed with leukocytes. Cell degradation...
Leukocytes Cell Adhesion Cell Separation Machine Learning Feces Humans
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[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2018
OBJECTIVE: To investigate the effects of prebiotics supplementation for 9 days on gut microbiota structure and function and establish a machine learning model based on the initial gut microbiota data for predicting the variation of Bifidobacterium af...
Machine Learning Feces Humans Double-Blind Method Prebiotics Gastrointestinal Microbiome RNA, Ribosomal, 16S Bifidobacterium
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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Radiographics : a review publication of the Radiological Society of North America, Inc Jan 1, 2018
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. ...
Deep Learning Humans Feces Algorithms Colorectal Neoplasms Cathartics Colonography, Computed Tomographic Contrast Media Radiation Dosage
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In Vitro Antifungal Susceptibility of Environmental Isolates of spp. from the West Region of Cameroon.

Ethiopian journal of health sciences Nov 1, 2016
BACKGROUND: Cryptococcus neoformans is responsible of cryptococcosis, a life-threatening infection that affects healthy and immunocompromised individuals. It is the first cause of adult acute meningitis in some sub-Saharan African countries with a mo...
Feces Columbidae Microbial Sensitivity Tests Animals Cryptococcus neoformans Cameroon Antifungal Agents Chiroptera
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Molecular Evaluation of High Fluoroquinolone Resistant Genes in Endemic Cases of Shigellosis, Northeast Part of Karnataka, India.

Annals of global health Jan 1, 2016
OBJECTIVES: Shigellosis is an acute infection of the intestine caused by bacteria in the genus Shigella and also an important cause of diarrhea in developing countries. This study was carried out to find the extent and nature of the emerging resistan...
Dysentery, Bacillary Anti-Bacterial Agents Endemic Diseases India Drug Resistance, Bacterial Humans Fluoroquinolones Microbial Sensitivity Tests Bacterial Proteins Shigella Feces
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HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the best screen method, however the compliance is less than 50%. Quantification of human DNA (hDNA) in the feces may be a possible screen non-invasive metho...
Humans Polymerase Chain Reaction Female DNA, Neoplasm Reproducibility of Results Sensitivity and Specificity Case-Control Studies Feces ROC Curve Neoplasm Staging Male Colorectal Neoplasms Colonoscopy Biomarkers, Tumor
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Automatic identification of fungi under complex microscopic fecal images.

Journal of biomedical optics Jul 1, 2015
Automatic identification of fungi in microscopic fecal images provides important information for evaluating digestive diseases. To date, disease diagnosis is primarily performed by manual techniques. However, the accuracy of this approach depends on ...
Mycological Typing Techniques Feces Image Processing, Computer-Assisted Fungi Microscopy Humans Neural Networks, Computer
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