Detection and Severity Quantification of Pulmonary Embolism with 3D CT Data Using an Automated Deep Learning-Based Artificial Solution.
Aissam Djahnine, Carole Lazarus,Mathieu Lederlin,Sebastien Mule, Rafael Wiemker,Salim Si-Mohamed,Emilien Jupin-Delevaux,Olivier Nempont,Youssef Skandarani,Mathieu De Craene, Segbedji Goubalan,Caroline Raynaud,Younes Belkouchi,Amira Ben Afia, Clement Fabre,Gilbert Ferretti,Constance De Margerie,Pierre Berge,Renan Liberge, Nicolas Elbaz,Maxime Blain,Pierre -Yves Brillet,Guillaume Chassagnon,Farah Cadour,Caroline Caramella,Mostafa El Hajjam,Samia Boussouar,Joya Hadchiti, Xavier Fablet,Antoine Khalil,Hugues Talbot,Alain Luciani,Nathalie Lassau,Loic Boussel Diagnostic and Interventional Imaging（2023）
Key words
Artificial intelligence,Pulmonary embolism,Qanadli score,Retina U-net
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper