Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images
Saman Motamed, Patrik Rogalla, Farzad Khalvati
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.imu.2021.100779 ↗
- Volume · Issue · Pages
- 27 · — · 100779-100779
- Publisher
- Elsevier Ltd.
- Article URL
- https://doi.org/10.1016/j.imu.2021.100779 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Jan 2021
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Jan 2021 | OpenAlex |
Keywords (as given): data augmentation; generative adversarial networks; chest X-ray images; pneumonia detection; COVID-19 detection; semi-supervised learning; convolutional neural networks; small medical datasets; image classification; deep convolutional GAN
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Informatics in Medicine Unlocked
- Publication date used
- 01 Jan 2021 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
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