Pulmonary embolism image segmentation based on an U-net method with CBAM attention mechanism-Reference-Cited by-同舟云学术

Pulmonary embolism image segmentation based on an U-net method with CBAM attention mechanism

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Electronics, Communications and Information Technology (CECIT)
language:
Short-container-title:

Author:

Tang Yiheng¹,Zhan Siyu¹,Guo Lu²,Pu Hong³,Feng Wanjie²,Liao Jianming¹

Affiliation:

1. University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China

2. University of Electronic Science and Technology of China,Sichuan Provincial People’s Hospital,Department of Pulmonary and Critical Care Medicine,Chengdu,China

3. University of Electronic Science and Technology of China,Sichuan Provincial People’s Hospital,Radiology Department,Chengdu,China

Funder

University of Electronic Science and Technology of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10085980/10086067/10086157.pdf?arnumber=10086157

Reference13 articles.

1. Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery

2. AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

3. Focal Loss for Dense Object Detection

4. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

5. Threshold-Based Level Set Method of Image Segmentation

Cited by 1 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. Segment-based and Patient-based Segmentation of CTPA Image in Pulmonary Embolism using CBAM ResU-Net;Proceedings of the 13th International Conference on Advances in Information Technology;2023-12-06