A Deep-Learning-based Cardiac Sound Segmentation Method for Smart Auscultation Applications-Reference-Cited by-同舟云学术

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A Deep-Learning-based Cardiac Sound Segmentation Method for Smart Auscultation Applications

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)
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Author:

Guan Tingxin¹,Xu Dongyang²,Cai Shengsheng³,Hu Nan¹

Affiliation:

1. Soochow University,School of Electronics and Information Engineering,Suzhou,China

2. Huzhou Institute of Zhejiang University,Center for Intelligent Acoustics and Signal Processing,Huzhou,China

3. Suzhou Melodicare Medical Technology Co., Ltd,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10280774/10281202/10281251.pdf?arnumber=10281251

Reference20 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2. Automated Identification of Innocent Still's Murmur in Children

3. CBAM: Convolutional Block Attention Module;woo;European Conference on Computer Vision(ECCV),2018

4. Densely Connected Convolutional Networks

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. Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database;Electronics;2024-08-14

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