Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

31 January 2020

Papers citing "Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem"

4 / 4 papers shown

Title
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria Francesca Lizzi Abramo Agosti F. Brero R. F. Cabini M. Fantacci ... S. Piffer I. Postuma L. Rinaldi C. Talamonti A. Retico 19 17 0 06 May 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding D. Bouget André Pedersen J. Vanel H. O. Leira T. Langø 16 27 0 11 Feb 2021
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans Paschalis A. Bizopoulos N. Vretos P. Daras 14 17 0 10 Sep 2020
Separation of target anatomical structure and occlusions in chest radiographs J. Hofmanninger S. Roehrich H. Prosch Georg Langs MedIm 107 0 0 03 Feb 2020