A Conceptual Model for Segmentation of Multiple Scleroses Lesions in Magnetic Resonance Images Using Massive Training Artificial Neural Network

A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

“…A Massive Training ANN (MTANN) approach was proposed by Khastavaneh et al [137] using T2 and FLAIR images. Brain tissue extraction, bias correction, and intensity normalization were done in the preprocessing step.…”

“…Khayati et al [25] 2008 Bayesian FLAIR MSL Harmouche et al [98] 2015 MRF T1, T2, PD, FLAIR T1-HL, T2-HL Shiee et al [97] 2010 FCM T1, T2, PD WHL Harmouche et al [87] 2006 Bayesian + MRF T2-w, PD-w T2 HL Bricq et al [88] 2008 HMM + TLE T1-w, FLAIR MSL Prastawa et al [90] 2008 PDF + MCD T1-w, T2-w, FLAIR MSL At-Ali et al [91] 2005 TLE T1-w, T2-w PD-w T1-HL, T2-HL Gao et al [94] 2013 EnM T1-w, T2-w, FLAIR WML Gong et al [101] 2015 EnM FLAIR MSL Tomas-Fernandez et al [103] 2015 GMM T1, T2, FLAIR MSL Elliott et al [104] 2013 Bayesian + RF FLAIR MSL Gao et al [105] 2014 EnM + BFE T1-w, T2-w, FLAIR MSL Zangeneh et al [113] 2016 GMM + ANN T1-w, T2-w, FLAIR MSL Zhao et al [118] 2017 EnM T1-w, FLAIR MSL Supervised Roy et al [4] 2013 SVM T1-w, T2-w, FLAIR MSL Deshpande et al [128] 2015 ADL T1-w MPRAGE, T2-w, PD, FLAIR MSL, WM, GM Tissues Zhang et al [130] 2007 ANN + KNN T2-w MSL, WM Tissues Cabezas et al [131] 2013 Gentleboost Algorithm PD-w, T2-w HL Cabezas et al [132] 2014 Gentleboost Algorithm T1-w, T2-w, PD-w, FLAIR MSL Guizard et al [146] 2015 RMNMS T1-w, T2-w, FLAIR MSL Jesson et al [133] 2015 MRF + RF T1, T2, FLAIR GML Kuwazuru et al [134] 2012 ANN + levelSet method T1, T2, FLAIR MSL Abdullah et al [135] 2012 SVM T1, T2 MSL Khastavaneh et al [137] 2015 MTANN + FIS T1-w, T2-w, FLAIR HL Veronese et al [138] 2014 SVM DIR GML…”