ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation

•A new algorithm, ALL-Net, is introduced to improve MS lesion segmentation.•ALL-Net integrates anatomical coordinate information into the neural network.•ALL-Net integrates lesion-wise loss function to improve small lesion detection.•ALL-Net is robust to both small- and large-scale MS lesion dataset...

Full description

Saved in:

Bibliographic Details
Published in:	NeuroImage clinical Vol. 32; p. 102854
Main Authors:	Zhang, Hang, Zhang, Jinwei, Li, Chao, Sweeney, Elizabeth M., Spincemaille, Pascal, Nguyen, Thanh D., Gauthier, Susan A., Wang, Yi, Marcille, Melanie
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Inc 01.01.2021 Elsevier
Subjects:	Algorithms Convolutional neural network Deep learning Humans Image Processing, Computer-Assisted Lesion segmentation Magnetic Resonance Imaging Mental Recall MRI Multiple sclerosis Multiple Sclerosis - diagnostic imaging Neural Networks, Computer Radiology Regular Deep learning Multiple sclerosis Lesion segmentation MRI Convolutional neural network
ISSN:	2213-1582, 2213-1582
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!