{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:11:46Z","timestamp":1730275906630,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/ispa.2019.8868764","type":"proceedings-article","created":{"date-parts":[[2019,10,17]],"date-time":"2019-10-17T23:18:06Z","timestamp":1571354286000},"page":"89-92","source":"Crossref","is-referenced-by-count":4,"title":["Automated analysis of radiology images using Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Tamas","family":"Katona","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balint","family":"Antal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks","author":"tubercnn","year":"2017","journal-title":"Radiology"},{"journal-title":"Learning to diagnose from scratch by exploiting dependencies among labels","year":"2017","author":"yao","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","first-page":"115","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref15","first-page":"2631","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref16","first-page":"140","article-title":"Adaptive Subgradient Methods for Online Learning and Stochastic Optimization","volume":"12","author":"duchi","year":"2011","journal-title":"JMLR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems","year":"2016","author":"abadi","key":"ref18"},{"journal-title":"Keras","year":"2015","author":"chollet","key":"ref19"},{"key":"ref4","first-page":"175184","article-title":"The U.S. Radiologist Workforce: An Analysis of Temporal and Geographic Variation by Using Large National Datasets","volume":"279","author":"rosenkrantz","year":"2015","journal-title":"Radiology"},{"journal-title":"MIMIC-CXR A large publicly available database of labeled chest radiographs","year":"2019","author":"johnson","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref5","first-page":"188196","article-title":"NegBio: a high-performance tool for negation and uncertainty detection in radiology reports","author":"peng","year":"0","journal-title":"AMIA Summits Transl Sci Proc"},{"journal-title":"ImageNet Classification with Deep Convolutional Neural Networks","year":"0","author":"krizhevsky","key":"ref8"},{"journal-title":"CheXNet Radiologist-level pneumonia detection on chest X-rays with deep learning","year":"2017","author":"rajpurkar","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"year":"0","key":"ref20"},{"year":"0","key":"ref22"},{"key":"ref21","first-page":"114","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"year":"0","key":"ref24"},{"year":"0","key":"ref23"}],"event":{"name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","start":{"date-parts":[[2019,9,23]]},"location":"Dubrovnik, Croatia","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8858008\/8868424\/08868764.pdf?arnumber=8868764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:53:28Z","timestamp":1658094808000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8868764\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ispa.2019.8868764","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}