{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T20:17:44Z","timestamp":1765484264765,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T00:00:00Z","timestamp":1629849600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T00:00:00Z","timestamp":1629849600000},"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":[[2021,8,25]]},"DOI":"10.1109\/inista52262.2021.9548351","type":"proceedings-article","created":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T21:43:27Z","timestamp":1633038207000},"page":"1-5","source":"Crossref","is-referenced-by-count":13,"title":["Effects of Image Preprocessing on the Performance of Convolutional Neural Networks for Pneumonia Detection"],"prefix":"10.1109","author":[{"given":"Ercan","family":"Avsar","sequence":"first","affiliation":[{"name":"Dokuz Eyl&#x00FC;l University,Computer Engineering Department,&#x0130;zmir,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.06.023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICECCT.2019.8869364"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/app10093233"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0276-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/4180949"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/Confluence47617.2020.9057809"},{"article-title":"Automated methods for detection and classification pneumonia based on x-ray images using deep learning","year":"2020","author":"asnaoui","key":"ref16"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.procs.2018.05.166","article-title":"Effects of histopathological image pre-processing on convolutional neural networks","volume":"132","author":"\u00f6zt\u00fcrk","year":"2018","journal-title":"Procedia Computer Science"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT.2016.7808140"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2875525"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"4133","DOI":"10.1007\/s00521-020-05235-5","article-title":"Classification of olive leaf diseases using deep convolutional neural networks","volume":"33","author":"u?uz","year":"2021","journal-title":"Neural Computing and Applications"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"337","DOI":"10.31803\/tg-20190712095507","article-title":"Detection and classification of brain tumours from MRI images using faster R-CNN","volume":"13","author":"av?ar","year":"2019","journal-title":"Tehni?ki Glasnik"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-0557-2_93"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32606-7_3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00432-018-02834-7"},{"key":"ref2","first-page":"1","article-title":"Pneumonia classification using deep learning from chest X-ray images during COVID-19","author":"ibrahim","year":"2021","journal-title":"Cognitive Computation"},{"year":"0","key":"ref1","article-title":"Pneumonia is the leading cause of death in children"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref22"},{"key":"ref21","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","start":{"date-parts":[[2021,8,25]]},"location":"Kocaeli, Turkey","end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9548323\/9548115\/09548351.pdf?arnumber=9548351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:33:41Z","timestamp":1659483221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9548351\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,25]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/inista52262.2021.9548351","relation":{},"subject":[],"published":{"date-parts":[[2021,8,25]]}}}