Efficacy of human experts and an automated segmentation algorithm in quantifying disease pathology in coronary computed tomography angiography: A head-to-head comparison with intravascular ultrasound imaging

Author:

Çap MuratORCID,Ramasamy Anantharaman,Parasa Ramya,Tanboga Ibrahim H.,Maung SoeORCID,Morgan KimberleyORCID,Yap Nathan A.L.ORCID,Abou Gamrah MazenORCID,Sokooti HessamORCID,Kitslaar PieterORCID,Reiber Johan H.C.ORCID,Dijkstra JoukeORCID,Torii RyoORCID,Moon James C.,Mathur Anthony,Baumbach AndreasORCID,Pugliese Francesca,Bourantas Christos V.

Funder

Turkish Society of Cardiology

NIHR University College London Hospitals Biomedical Research Centre

NIHR Barts Biomedical Research Centre

British Heart Foundation

Rosetrees Trust

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference45 articles.

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2. NICE Guidelines, Chest Pain of Recent Onset: Assessment and Diagnosis,2016

3. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II;Pontone;Eur Heart J Cardiovasc Imaging,2022

4. Coronary computed tomography angiography for heart team decision-making in multivessel coronary artery disease;Collet;Eur Heart J,2018

5. A long-term prognostic value of coronary CT angiography in suspected coronary artery disease;Andreini;JACC Cardiovasc Imaging,2012

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