High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks

Published:2016-10-11 Issue:1 Volume:30 Page:95-101
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Rajkomar Alvin,Lingam Sneha,Taylor Andrew G.,Blum Michael,Mongan John

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1007/s10278-016-9914-9.pdf

Reference24 articles.

1. Peng Y, Jiang Y, Yang C, Brown JB, Antic T, Sethi I, et al: Quantitative analysis of multiparametric prostate Mr images: differentiation between prostate cancer and normal tissue and correlation with gleason score—a computer-aided diagnosis development study. Radiology 267(3):787–96, 2013

2. Meyers PH, Nice Jr, CM, Becker HC, Nettleton Jr, WJ, Sweeney JW, Meckstroth GR: Automated computer analysis of radiographic images 1. Radiology 83(6):1029–34, 1964

3. Toriwaki J, Suenaga Y, Negoro T, Fukumura T: Pattern recognition of chest x-ray images. Comput Graph Image Process 2(3):252–71, 1973

4. Schalekamp S, Van Ginneken B, Karssemeijer N, Schaefer-Prokop C: Chest radiography: New technological developments and their applications. Seminars in respiratory and critical care medicine. Thieme Medical Publishers, 2014

5. Lecun Y, Bengio Y, Hinton G: Deep learning. Nature 521(7553):436–44, 2015

Cited by 109 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. Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models;Beni-Suef University Journal of Basic and Applied Sciences;2024-08-15

2. Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey;Wireless Personal Communications;2024-07-31

3. Comparative Analysis of Deep Convolution Neural Networks on Medical Image-Based COVID-19 Detection;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

4. A Novel Deep Learning–based Artificial Intelligence System for Interpreting Urolithiasis in Computed Tomography;European Urology Focus;2024-07

5. An overview of computer—aided medical image classification;Multimedia Tools and Applications;2024-06-17

同舟云学术

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