COVID19-CT-dataset: an open-access chest CT image repository of 1000+ patients with confirmed COVID-19 diagnosis.
Shokouh ShakouriMohammad Amin BakhshaliParvaneh LayeghBehzad KianiFarid MasoumiSaeedeh Ataei NakhaeiSayyed Mostafa MostafaviPublished in: BMC research notes (2021)
In the present study, we provide an open-source repository containing 1000+ CT images of COVID-19 lung infections established by a team of board-certified radiologists. CT images were acquired from two main general university hospitals in Mashhad, Iran from March 2020 until January 2021. COVID-19 infections were ratified with matching tests including Reverse transcription polymerase chain reaction (RT-PCR) and accompanying clinical symptoms. All data are 16-bit grayscale images composed of 512 × 512 pixels and are stored in DICOM standard. Patient privacy is preserved by removing all patient-specific information from image headers. Subsequently, all images corresponding to each patient are compressed and stored in RAR format.
Keyphrases
- deep learning
- coronavirus disease
- sars cov
- image quality
- convolutional neural network
- dual energy
- computed tomography
- contrast enhanced
- optical coherence tomography
- artificial intelligence
- positron emission tomography
- case report
- healthcare
- big data
- palliative care
- respiratory syndrome coronavirus
- health information
- electronic health record
- social media
- depressive symptoms
- transcription factor
- pet ct
- data analysis