Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynecology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00404-022-06824-6.pdf
Reference69 articles.
1. Frumovitz M, Sun CC, Schover LR, Munsell MF, Jhingran A, Wharton JT et al (2005) Quality of life and sexual functioning in cervical cancer survivors. J Clin Oncol 23(30):7428–7436
2. Small W, Bacon MA, Bajaj A, Chuang LT, Fisher BJ, Harkenrider MM et al (2017) Cervical cancer: a global health crisis. Cancer 123(13):2404–2412
3. Arezzo F, Cormio G, Loizzi V, Cazzato G, Cataldo V, Lombardi C et al (2021) HPV-negative cervical cancer: a narrative review. Diagnostics 11(6):952
4. Marth C, Landoni F, Mahner S, McCormack M, Gonzalez-Martin A, Colombo N et al (2018) Cervical cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 29(Suppl 4):iv262
5. Lee SI, Atri M (2019) 2018 FIGO staging system for uterine cervical cancer: enter cross-sectional imaging. Radiology 292(1):15–24
Cited by 8 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. Hematological indicator-based machine learning models for preoperative prediction of lymph node metastasis in cervical cancer;Frontiers in Oncology;2024-08-13
2. Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability;Frontiers in Neuroscience;2024-02-12
3. Application of Artificial Intelligence in Abdominal Imaging;Artificial Intelligence in Medical Imaging in China;2024
4. Zervixkarzinom: Maschinenlernen hilft bei Detektion von Lymphknotenmetastasen;TumorDiagnostik & Therapie;2023-11-28
5. Habitat-based radiomics enhances the ability to predict lymphovascular space invasion in cervical cancer: a multi-center study;Frontiers in Oncology;2023-10-26
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