Ontology highlight
ABSTRACT:
SUBMITTER: Bangalore Yogananda CG
PROVIDER: S-EPMC7289260 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Bangalore Yogananda Chandan Ganesh CG Shah Bhavya R BR Vejdani-Jahromi Maryam M Nalawade Sahil S SS Murugesan Gowtham K GK Yu Frank F FF Pinho Marco C MC Wagner Benjamin C BC Emblem Kyrre E KE Bjørnerud Atle A Fei Baowei B Madhuranthakam Ananth J AJ Maldjian Joseph A JA
Tomography (Ann Arbor, Mich.) 20200601 2
We developed a fully automated method for brain tumor segmentation using deep learning; 285 brain tumor cases with multiparametric magnetic resonance images from the BraTS2018 data set were used. We designed 3 separate 3D-Dense-UNets to simplify the complex multiclass segmentation problem into individual binary-segmentation problems for each subcomponent. We implemented a 3-fold cross-validation to generalize the network's performance. The mean cross-validation Dice-scores for whole tumor (WT), ...[more]