Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-32248-9_91
Reference25 articles.
1. Saver, J., et al.: Time to treatment with intravenous tissue plasminogen activator and outcome from acute ischemic stroke. JAMA 309, 2480–2488 (2013)
2. Schriger, D., Kalafut, M., Starkman, S., Krueger, M., Saver, J.: Cranial computed tomography interpretation in acute stroke: physician accuracy in determining eligibility for thrombolytic therapy. JAMA 279, 1293–1297 (1998)
3. Chalela, J., et al.: Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison. Lancet 369, 293–298 (2007)
4. Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115 (2017)
5. Gulshan, V., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316, 2402–2410 (2016)
Cited by 17 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. DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision;Neural Computing and Applications;2024-02-28
2. Medical Image Segmentation of Intracranial Hemorrhage: A Review;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10
3. Automated Segmentation of Infarct Core in Non-Contrast CT Scans of Ischemic Stroke Patients;2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA);2023-10-27
4. AW-Net: A Novel Fully Connected Attention-based Medical Image Segmentation Model;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
5. Evaluation of grouped capsule network for intracranial hemorrhage segmentation in CT scans;Scientific Reports;2023-03-01
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