Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Nuclear Cardiology"
DOI: 10.1007/s12350-022-02940-7
Abstract: To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed tomography myocardial perfusion imaging… read more here.
Keywords: deep learning; perfusion imaging; fully automated; myocardial perfusion ... See more keywords
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-76459-7
Abstract: This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation and volume quantification in computed tomography (CT) scans. Non-contrast whole-head… read more here.
Keywords: automated deep; segmentation; fully automated; fast fully ... See more keywords
Automated deep learning in ophthalmology: AI that can build AI
Sign Up to like & getrecommendations! Published in 2021 at "Current Opinion in Ophthalmology"
DOI: 10.1097/icu.0000000000000779
Abstract: Supplemental Digital Content is available in the text Purpose of review The purpose of this review is to describe the current status of automated deep learning in healthcare and to explore and detail the development… read more here.
Keywords: learning ophthalmology; ophthalmology; automated deep; ophthalmology build ... See more keywords