Local Variance-driven Level Set Model with Application to Segment Medical Images-Reference-Cited by-同舟云学术

Local Variance-driven Level Set Model with Application to Segment Medical Images

Published:2023-10-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Cyber-Physical Social Intelligence (ICCSI)
language:
Short-container-title:

Author:

Shu Xiu¹,Yuan Di²

Affiliation:

1. Harbin Institute of Technology,School of Science,Shenzhen,China

2. Guangzhou Institute of Technology Xidian University,Guangzhou,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303765/10303774/10304022.pdf?arnumber=10304022

Reference21 articles.

1. ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation

2. A neighbor level set framework minimized with the split Bregman method for medical image segmentation

3. Adaptive segmentation model for liver CT images based on neural network and level set method

4. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015),2015

5. Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images

Cited by 3 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. M‐SSD based on anchor proposal and ResNet101 backbone for placental haemorrhage MRI detection;IET Image Processing;2024-08-15

2. Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT Images;Journal of Imaging;2024-07-15

3. Brain tumor segmentation algorithm based on pathology topological merging;Multimedia Tools and Applications;2024-03-21