A
Alexander Sóñora-Mengana
Researcher at Vrije Universiteit Brussel
Publications - 2
Citations - 812
Alexander Sóñora-Mengana is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Data set & False positive paradox. The author has an hindex of 2, co-authored 2 publications receiving 500 citations.
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio,Alberto Traverso,Thomas de Bel,Moira S.N. Berens,Cas van den Bogaard,Piergiorgio Cerello,Hao Chen,Qi Dou,Maria Evelina Fantacci,Bram Geurts,Robbert van der Gugten,Pheng-Ann Heng,Bart Jansen,Michael M.J. de Kaste,Valentin Kotov,Jack Yu-Hung Lin,Jeroen Manders,Alexander Sóñora-Mengana,Juan C. García-Naranjo,Evgenia Papavasileiou,Mathias Prokop,M. Saletta,Cornelia M. Schaefer-Prokop,Ernst T. Scholten,Luuk Scholten,Miranda M. Snoeren,Ernesto Lopez Torres,Jef Vandemeulebroucke,Nicole Walasek,Guido Zuidhof,Bram van Ginneken,Colin Jacobs +31 more
TL;DR: The LUNA16 challenge is described, an objective evaluation framework for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC‐IDRI data set, and the results so far are presented.
Evaluation of data balancing techniques. Application to CAD of lung nodules using the LUNA16 framework
Alexander Sóñora-Mengana,Evgenia Papavasileiou,Juan C. García-Naranjo,Bard Jansen,Jef Vandemeulebroucke +4 more
TL;DR: The SMOTE-based ETROCAD system have the best score among all the classical systems using handcrafted features in LUNA16 web sit, which is to compare the performance of different data balancing techniques applied to the classification of lung nodules.