TY - GEN
T1 - DeepMedic for brain tumor segmentation
AU - Kamnitsas, Konstantinos
AU - Ferrante, Enzo
AU - Parisot, Sarah
AU - Ledig, Christian
AU - Nori, Aditya V.
AU - Criminisi, Antonio
AU - Rueckert, Daniel
AU - Glocker, Ben
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Accurate automatic algorithms for the segmentation of brain tumours have the potential of improving disease diagnosis, treatment planning, as well as enabling large-scale studies of the pathology. In this work we employ DeepMedic [1], a 3D CNN architecture previously presented for lesion segmentation, which we further improve by adding residual connections. We also present a series of experiments on the BRATS 2015 training database for evaluating the robustness of the network when less training data are available or less filters are used, aiming to shed some light on requirements for employing such a system. Our method was further benchmarked on the BRATS 2016 Challenge, where it achieved very good performance despite the simplicity of the pipeline.
AB - Accurate automatic algorithms for the segmentation of brain tumours have the potential of improving disease diagnosis, treatment planning, as well as enabling large-scale studies of the pathology. In this work we employ DeepMedic [1], a 3D CNN architecture previously presented for lesion segmentation, which we further improve by adding residual connections. We also present a series of experiments on the BRATS 2015 training database for evaluating the robustness of the network when less training data are available or less filters are used, aiming to shed some light on requirements for employing such a system. Our method was further benchmarked on the BRATS 2016 Challenge, where it achieved very good performance despite the simplicity of the pipeline.
UR - http://www.scopus.com/inward/record.url?scp=85018674926&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-55524-9_14
DO - 10.1007/978-3-319-55524-9_14
M3 - Conference contribution
AN - SCOPUS:85018674926
SN - 9783319555232
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 138
EP - 149
BT - Brainlesion
A2 - Menze, Bjoern
A2 - Reyes, Mauricio
A2 - Crimi, Alessandro
A2 - Maier, Oskar
A2 - Winzeck, Stefan
A2 - Handels, Heinz
PB - Springer Verlag
T2 - 2nd International Workshop on Brain Lesion, BrainLes 2016, with the challenges on Brain Tumor Segmentation BRATS, Ischemic Stroke Lesion Image Segmentation ISLES, and the Mild Traumatic Brain Injury Outcome Prediction mTOP held in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
Y2 - 17 October 2016 through 17 October 2016
ER -