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Contrastive self-supervised learning from 100 million medical images with optional supervision.基于一亿张医学图像的对比自监督学习及可选监督。
J Med Imaging (Bellingham). 2022 Nov;9(6):064503. doi: 10.1117/1.JMI.9.6.064503. Epub 2022 Nov 30.
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3
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.通过合作构建机器学习数据集：2019年RSNA脑CT出血挑战赛
Radiol Artif Intell. 2020 Apr 29;2(3):e190211. doi: 10.1148/ryai.2020190211. eCollection 2020 May.
4
Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization.使用深度卷积神经网络在CT图像上检测尿路结石：模型性能与泛化能力评估
Radiol Artif Intell. 2019 Jul 24;1(4):e180066. doi: 10.1148/ryai.2019180066. eCollection 2019 Jul.
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MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports.MIMIC-CXR，一个去标识化的、公开可用的、包含自由文本报告的胸部 X 光数据库。
Sci Data. 2019 Dec 12;6(1):317. doi: 10.1038/s41597-019-0322-0.
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A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks-the Cohort of Screen-Aged Women (CSAW).一个包含数百万张乳腺 X 光图像的数据集和一个基于人群的筛查队列，用于深度学习神经网络的培训和评估 - 筛查年龄段女性队列（CSAW）。
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Moving from ImageNet to RadImageNet for Improved Transfer Learning and Generalizability.

作者信息

Cadrin-Chênevert Alexandre

机构信息

Department of Medical Imaging, CISSS Lanaudière, 1000 Boulevard Sainte-Anne, Saint-Charles-Borromée, QC, Canada J6E 6J2; and Department of Radiology and Nuclear Medicine, Laval University, Quebec City, Canada.

出版信息

Radiol Artif Intell. 2022 Aug 10;4(5):e220126. doi: 10.1148/ryai.220126. eCollection 2022 Sep.

DOI:10.1148/ryai.220126
PMID:36204541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9530775/
Abstract
摘要