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Microscopic Imaging and Labeling Dataset for the Detection of Pneumocystis jirovecii Using Methenamine Silver Staining Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dc.20540openalex-snapshot
Utility of reflex gomori methenamine silver staining forPneumocystis jirovecii on bronchoalveolar lavage cytologic specimens: A review
inferredcites →https://doi.org/10.1007/s12281-014-0198-6openalex-snapshot
Diagnosis of Pneumocystis jirovecii Pneumonia: Role of β-D-Glucan Detection and PCR
inferredcites →https://doi.org/10.1016/j.bbe.2021.05.013openalex-snapshot
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
inferredcites →https://doi.org/10.1016/j.bspc.2021.103325openalex-snapshot
The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review
inferredcites →https://doi.org/10.1016/j.compeleceng.2019.08.004openalex-snapshot
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database
inferredcites →https://doi.org/10.1016/j.measurement.2019.05.076openalex-snapshot
Identifying pneumonia in chest X-rays: A deep learning approach
inferredcites →https://doi.org/10.1016/j.ohx.2021.e00216openalex-snapshot
Portable low-cost IoT hyperspectral acquisition device for indoor/outdoor applications
inferredcites →https://doi.org/10.1016/j.procs.2015.02.137openalex-snapshot
Image Processing Based Detection of Fungal Diseases in Plants
inferredcites →https://doi.org/10.1016/j.sjbs.2020.04.032openalex-snapshot
Pneumocystis Jirovecii detection and comparison of multiple diagnostic methods with quantitative real-time PCR in patients with respiratory symptoms
inferredcites →https://doi.org/10.1038/s41598-020-79470-0openalex-snapshot
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study
inferredcites →https://doi.org/10.1039/c2lc40864copenalex-snapshot
Optical imaging techniques for point-of-care diagnostics
inferredcites →https://doi.org/10.1080/03235408.2013.772321openalex-snapshot
An artificial neural network approach to identify fungal diseases of cucumber (Cucumis sativusL.) plants using digital image processing
inferredcites →https://doi.org/10.1093/mmy/myv023openalex-snapshot
Pneumocystis pneumonia in HIV patients: a diagnostic challenge till date
inferredcites →https://doi.org/10.1109/tnb.2018.2839585openalex-snapshot
A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection
inferredcites →https://doi.org/10.1111/jmi.12566openalex-snapshot
Automatic diagnosis of vulvovaginal candidiasis from Pap smear images
inferredcites →https://doi.org/10.1155/2015/851014openalex-snapshot
Image-Processing Scheme to Detect Superficial Fungal Infections of the Skin
inferredcites →https://doi.org/10.1186/s12879-019-4289-4openalex-snapshot
Serum-based diagnosis of Pneumocystis pneumonia by detection of Pneumocystis jirovecii DNA and 1,3-β-D-glucan in HIV-infected patients: a retrospective case control study
inferredcites →https://doi.org/10.1371/journal.pone.0257884openalex-snapshot
Artificial intelligence on COVID-19 pneumonia detection using chest xray images
inferredcites →https://doi.org/10.22430/22565337.716openalex-snapshot
Feature extraction based on time-singularity multifractal spectrum distribution in intracardiac atrial fibrillation signals
inferredcites →https://doi.org/10.3314/mmj.16-00019openalex-snapshot
Recent Advances in the Diagnosis of Pneumocystis Pneumonia
inferredcites →https://doi.org/10.3390/agronomy11050873openalex-snapshot
Comparison of Different Image Processing Methods for Segregation of Peanut (Arachis hypogaea L.) Seeds Infected by Aflatoxin-Producing Fungi
inferredcites →https://doi.org/10.3390/jcm9010248openalex-snapshot
Can Artificial Intelligence Improve the Management of Pneumonia
inferredcites →https://doi.org/10.5220/0007346600760083openalex-snapshot
Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks
inferredcites →https://doi.org/10.7705/biomedica.v31i2.307openalex-snapshot
Diagnóstico microscópico de neumonía por Pneumocystis jirovecii en muestras de lavado broncoalveolar y lavado orofaríngeo de pacientes inmunocomprometidos con neumonía
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4472275openalex-extracted
Optigui Datacollector: A Graphical User Interface for Automating the Data Collecting Process in Optical and Photonics Labs
inferred← citeshttps://doi.org/10.1007/978-981-99-5015-7_44openalex-snapshot
Pneumocystis jirovecii Fungi Detection Using Microscopy Image: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1016/j.softx.2023.101521openalex-snapshot
OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs
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