AIMC Topic: Fungi

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[Screening and identification of antioxidant endophytes from Lycium barbarum of Ningxia].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Oct 1, 2015
In this paper, 29 endophytes were isolated from different organs and tissues of Lycium barbarum of Ningxia by tablet coating method, 18 of them was fungi, and 11 of them was actinomycetes. The endophytes quantity in the different tissues were leaves ...
Bacteria Antioxidants Oxidation-Reduction Fungi Biodiversity Molecular Sequence Data Endophytes Lycium
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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 ...
Humans Neural Networks, Computer Feces Image Processing, Computer-Assisted Fungi Microscopy Mycological Typing Techniques
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Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2015
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Carcinoma, Squamous Cell Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Incidence ROC Curve Lung Neoplasms Logistic Models Adenocarcinoma Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Staging Mycoses Fungi Cross Infection Carcinoma, Large Cell Small Cell Lung Carcinoma
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