000265640 001__ 265640
000265640 005__ 20190812204800.0
000265640 020__ $$a978-3-030-11722-1
000265640 020__ $$a978-3-030-11723-8
000265640 0247_ $$a10.1007/978-3-030-11723-8_14$$2doi
000265640 02470 $$a1809.03185$$2arXiv
000265640 037__ $$aCONF
000265640 245__ $$aShallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis
000265640 269__ $$a2018-09-10
000265640 260__ $$bSpringer$$c2018-09-10
000265640 336__ $$aConference Papers
000265640 490__ $$aLecture Notes in Computer Science$$v11383
000265640 520__ $$aIn this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease patients, to verify their performance in challenging conditions, more similar to a clinical setting than what is typically provided in multiple sclerosis segmentation challenges. Furthermore, we evaluate a prototype naive combination of the two methods, which refines the final segmentation. All methods were trained on 32 patients, and the evaluation was performed on a pure test set of 73 cases. Results show low lesion-wise false positives (30%) for the deep learning architecture, whereas the shallow architecture yields the best Dice coefficient (63%) and volume difference (19%). Combining both shallow and deep architectures further improves the lesion-wise metrics (69% and 26% lesion-wise true and false positive rate, respectively).
000265640 6531_ $$aCIBM-SPC
000265640 700__ $$0260941$$aLa Rosa, Francesco$$g296096
000265640 700__ $$aFartaria, Mario Joao
000265640 700__ $$aKober, Tobias
000265640 700__ $$aRichiardi, Jonas
000265640 700__ $$aGranziera, Cristina
000265640 700__ $$aThiran, Jean-Philippe
000265640 700__ $$0240463$$aBach Cuadra, Meritxell$$g124931
000265640 7112_ $$d September 16, 2018$$cGranada, Spain$$aBrainLes Workshop, MICCAI 2018
000265640 773__ $$tBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018. Revised Selected Papers, Part I
000265640 8564_ $$uhttps://infoscience.epfl.ch/record/265640/files/1809.03185.pdf$$s2338714
000265640 8560_ $$falessandra.bianchi@epfl.ch
000265640 909C0 $$pLTS5$$mjean-philippe.thiran@epfl.ch$$0252394$$zMarselli, Béatrice$$xU10954
000265640 909CO $$pconf$$pSTI$$ooai:infoscience.epfl.ch:265640
000265640 960__ $$afrancesco.larosa@epfl.ch
000265640 961__ $$aalessandra.bianchi@epfl.ch
000265640 973__ $$aEPFL$$rREVIEWED
000265640 980__ $$aCONF
000265640 981__ $$aoverwrite