Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

Article Details
Title:	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Article URLs:	http://papers.nips.cc/paper/6448-combining-fully-convolutional-and-recurrent-neural-networks-for-3d-biomedical-image-segmentation
Alternative Article URLs:
Authors:	Jianxu Chen	University of Notre Dame
	Lin Yang	University of Notre Dame
	Yizhe Zhang	University of Notre Dame
	Mark S. Alber	University of Notre Dame
	Danny Ziyi Chen	University of Notre Dame
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1217906, 1617735
DBLP Key:	conf/nips/ChenYZAC16
Author Comments:

Advances in Neural Information Processing Systems, NIPS 2016