TY - GEN
T1 - Semi-supervised and active learning for automatic segmentation of Crohn's disease
AU - Mahapatra, Dwarikanath
AU - Schüffler, Peter J.
AU - Tielbeek, Jeroen A.W.
AU - Vos, Franciscus M.
AU - Buhmann, Joachim M.
PY - 2013
Y1 - 2013
N2 - Our proposed method combines semi supervised learning (SSL) and active learning (AL) for automatic detection and segmentation of Crohn's disease (CD) from abdominal magnetic resonance (MR) images. Random forest (RF) classifiers are used due to fast SSL classification and capacity to interpret learned knowledge. Query samples for AL are selected by a novel information density weighted approach using context information, semantic knowledge and labeling uncertainty. Experimental results show that our proposed method combines the advantages of SSL and AL, and with fewer samples achieves higher classification and segmentation accuracy over fully supervised methods.
AB - Our proposed method combines semi supervised learning (SSL) and active learning (AL) for automatic detection and segmentation of Crohn's disease (CD) from abdominal magnetic resonance (MR) images. Random forest (RF) classifiers are used due to fast SSL classification and capacity to interpret learned knowledge. Query samples for AL are selected by a novel information density weighted approach using context information, semantic knowledge and labeling uncertainty. Experimental results show that our proposed method combines the advantages of SSL and AL, and with fewer samples achieves higher classification and segmentation accuracy over fully supervised methods.
UR - http://www.scopus.com/inward/record.url?scp=84885904347&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40763-5_27
DO - 10.1007/978-3-642-40763-5_27
M3 - Conference contribution
C2 - 24579143
AN - SCOPUS:84885904347
SN - 9783642407628
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 214
EP - 221
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Y2 - 22 September 2013 through 26 September 2013
ER -