Human Brain Hippocampus Segmentation Based on Improved U-net Model-Reference-Cited by-同舟云学术

Human Brain Hippocampus Segmentation Based on Improved U-net Model

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 24th International Conference on Computational Science and Engineering (CSE)
language:
Short-container-title:

Author:

Ren ChuLan¹,Wang Ning¹,Zhang Yang²

Affiliation:

1. Shenyang University of Chemical Technology,Laborotary of Industrial Intelligence Technology on Chemical Process,Department of Computer Science and Technology,Shenyang,China

2. University of Traditional Chinese Medicine,Affiliated Hospital of Liaoning,Shenyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724521/9724552/09724602.pdf?arnumber=9724602

Reference29 articles.

1. Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

2. Retinal vessel segmentation via deep learning network and fully-connected conditional random fields [C];xuy;Proc IEEE International Symposium on Biomedical Imaging,2016

3. Fault Detection Based on Fully Convolutional Networks (FCN) [J];jizhong;Journal of Marine Science and Engineering,2021

4. Brox T.U-Net: convolutional networks for biomedical image segmentation [C];onneberger;International Conference on Medical image computing and computer-assisted intervention Munich,2015

5. Brain tumor MR image segmentation based on improved U-Net model [J/OL];shunbing;Journal of West China Normal University (Natural Science Edition),2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss;Computers in Biology and Medicine;2023-06

2. MDNet: Multi-scale densely connected segmentation architecture with channel attention for automatic hippocampal segmentation;2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT);2022-07