Feasible Study on Intracranial Hemorrhage Detection and Classification using a CNN-LSTM Network

Author:

Ko Hoon,Chung Heewon,Lee Hooseok,Lee Jinseok

Publisher

IEEE

Cited by 20 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. Dual path sub-type diagnostic model based on the anatomic morphological feature;Biomedical Signal Processing and Control;2024-04

2. An efficient stacked bidirectional GRU‐LSTM network for intracranial hemorrhage detection;International Journal of Imaging Systems and Technology;2023-09-04

3. Intracranial Haemorrhage Detection Based on Deep Learning Using CT Images;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

4. An Efficient CNN-BiLSTM-Based Model for Multi-Class Intracranial Hemorrhage Classification;2023 8th International Conference on Image, Vision and Computing (ICIVC);2023-07-27

5. Automatic Diagnosis of Pectus Excavatum from CT Images Using a Joint CNN-LSTM Model;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3