COVID-19 diagnosis using AI
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Scope of this subject
This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in medical imaging for the detection and diagnosis of COVID-19, pneumonia, and other thoracic diseases using chest X-ray and CT scan images. The research explores the use of artificial intelligence, transfer learning, and image-based deep learning techniques to develop automated systems for accurate medical diagnoses.
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Research vocabulary
COVID-19 detection; chest X-ray images; medical image classification; pneumonia detection; COVID-19 diagnosis; chest X-ray classification; pneumonia classification; automated medical diagnosis; tuberculosis detection; lung disease classification; chest CT images; lung disease detection; COVID-19 classification; lung opacity; automated medical image analysis; ChestX-ray14; lung CT images; COVID-19 prediction; lung infection segmentation; lung lesion segmentation; automated medical image classification; CheXpert; pneumothorax detection; lung infection detection; COVID-19 severity prediction
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Morton address: 36249011951152558 · morton4x16-v1
Coordinates: (4, 27, 2741, 11775). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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