Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

no code implementations • 30 Mar 2020 • Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, Maria J. Ledesma-Carbayo

Objective: To generate a database of annotated computed tomography pulmonary angiographies, use it to compare the sensitivity and false positive rate of current algorithms and to develop new methods that improve such metrics.

Specificity

Pulmonary Artery–Vein Classification in CT Images Using Deep Learning

no code implementations • IEEE Transactions on Medical Imaging ( Volume: 37 , Issue: 11 , Nov. 2018 ) 2018 • Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Pelaez, George R. Washko, Farbod N. Rahaghi, Maria J. Ledesma-Carbayo, Raúl San José Estépar

In this paper, we present a novel, fully automatic approach to classify vessels from chest CT images into arteries and veins.

3D Medical Imaging Segmentation Computed Tomography (CT) +3