Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Medicine (miscellaneous)
Reference78 articles.
1. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study;Chilamkurthy;Lancet.,2018
2. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature.,2017
3. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;Gulshan;JAMA.,2016
4. The PRISMA statement for reporting systematic reviews and Meta-analyses of studies that evaluate health care interventions: explanation and elaboration;Liberati;PLoS Med,2009
5. PROBAST: a tool to assess the risk of Bias and applicability of prediction model studies;Wolff;Ann Intern Med,2019
Cited by 69 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. Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review;Journal of Pathology Informatics;2024-12
2. Applications of artificial intelligence in diagnosis of uncommon cystoid macular edema using optical coherence tomography imaging: A systematic review;Survey of Ophthalmology;2024-11
3. Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation;World Neurosurgery;2024-09
4. Predicting progression-free survival in patients with epithelial ovarian cancer using an interpretable random forest model;Heliyon;2024-08
5. Enhancing Ovarian Tumor Diagnosis: Performance of Convolutional Neural Networks in Classifying Ovarian Masses Using Ultrasound Images;Journal of Clinical Medicine;2024-07-15
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