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Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

https://doi.org/10.1109/elnano.2018.8477564
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Medical image segmentation on GPUs – A comprehensive review
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Deep learning
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ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
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Synergy of volunteer measurements and volunteer computing for effective data collecting, processing, simulating and analyzing on a worldwide scale
inferredcites →https://doi.org/10.1109/tmi.2013.2284099openalex-snapshot
Automatic Tuberculosis Screening Using Chest Radiographs
inferredcites →https://doi.org/10.1118/1.3528204openalex-snapshot
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
inferredcites →https://doi.org/10.1146/annurev-bioeng-071516-044442openalex-snapshot
Deep Learning in Medical Image Analysis
inferredcites →https://doi.org/10.2214/ajr.174.1.1740071openalex-snapshot
Development of a Digital Image Database for Chest Radiographs With and Without a Lung Nodule
inferredcites →https://doi.org/10.5815/ijmsc.2017.02.01openalex-snapshot
Using Deep Learning Towards Biomedical Knowledge Discovery

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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