Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

no code implementations • 31 Mar 2021 • Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka

Strong agreement between expert manual and automatic segmentation was obtained for lung lesions with a Dice score coefficient of 0. 876 $\pm$ 0. 005; excellent correlations of 0. 978 and 0. 981 for ground-glass opacity and high opacity volumes.

Computed Tomography (CT)

Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network

no code implementations • 20 Feb 2018 • Siming Yan, Feng Shi, Yu-Hua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie

Coronary calcium causes beam hardening and blooming artifacts on cardiac computed tomography angiography (CTA) images, which lead to overestimation of lumen stenosis and reduction of diagnostic specificity.

BIG-bench Machine Learning Specificity