Machine intelligence in non-invasive endocrine cancer diagnostics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://www.nature.com/articles/s41574-021-00543-9.pdf
Reference178 articles.
1. Goodfellow, I., Bengio, Y., Courville, A. & Bengio, Y. Deep learning. Vol. 1 (MIT Press, 2016).
2. Esteva, A. et al. A guide to deep learning in healthcare. Nat. Med. 25, 24–29 (2019). This Review provides an excellent primer on deep learning applications in medicine that covers a variety of modalities, including clinical, imaging, text and mixed data.
3. Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H. & Aerts, H. J. W. L. Artificial intelligence in radiology. Nat. Rev. Cancer 18, 500–510 (2018).
4. Luo, Y. et al. Preoperative prediction of pancreatic neuroendocrine neoplasms grading based on enhanced computed tomography imaging: validation of deep learning with a convolutional neural network. Neuroendocrinology 110, 338–350 (2020). This paper finds the deep learning convolutional neural network approach to achieve the highest area under the curve in differentiating pancreatic NET grade 1–2 from grade 3 tumours, although convolutional neural network performance was not statistically different from that of the traditional machine learning models included in the study.
5. Qian, Y. et al. A novel diagnostic method for pituitary adenoma based on magnetic resonance imaging using a convolutional neural network. Pituitary 23, 246–252 (2020). A deep learning technique using convolutional neural networks to differentiate patients with pituitary adenoma from a mixed control group with both healthy and sellar lesion MRI scans.
Cited by 34 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. Advances of AI in image-based computer-aided diagnosis: A review;Array;2024-09
2. Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data;Diagnostics;2024-08-28
3. Advancements and Challenges in Artificial Intelligence-Driven Diagnosis and Management of Pancreatic Cancer;AI in Precision Oncology;2024-08-01
4. AutoCancer as an automated multimodal framework for early cancer detection;iScience;2024-07
5. A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification;Frontiers in Endocrinology;2024-06-17
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