{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T14:00:06Z","timestamp":1758981606343,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.23919\/apsipa.2018.8659700","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T23:11:49Z","timestamp":1552950709000},"page":"2032-2035","source":"Crossref","is-referenced-by-count":10,"title":["A Lung Disease Classification Based on Feature Fusion Convolutional Neural Network with X-ray Image Enhancement"],"prefix":"10.23919","author":[{"given":"Yue","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Jinchao","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Kebin","family":"Jia","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"174","article-title":"Modified luminance based MSR for fast and efficient image enhancement","author":"li","year":"2003","journal-title":"Applied Imagery Pattern Recognition Workshop Proceedings 32nd Applied Image Pattern Recognition Workshop"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/34.541406","article-title":"Image representation using 20 Gabor wavelets","volume":"18","author":"lee","year":"1996","journal-title":"IEEE Trans Pattern Analysis and Machine Intelligence"},{"key":"ref12","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Adv Neural Inf Process Syst"},{"journal-title":"ADADELTA An Adaptive Learning Rate Method","year":"2012","author":"zeiler","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.226"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9619-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.160.2.9804094"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535865"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"journal-title":"Pattern Classification","year":"2001","author":"duda","key":"ref7"},{"journal-title":"Medical Terminology Systems A Body Systems","year":"2005","author":"wedding","key":"ref2"},{"key":"ref1","first-page":"595","article-title":"Spontaneous pneumothorax","volume":"302","author":"pongrac","year":"1981","journal-title":"BMJ (Clinical Research Ed )"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"}],"event":{"name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2018,11,12]]},"location":"Honolulu, HI, USA","end":{"date-parts":[[2018,11,15]]}},"container-title":["2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8648538\/8659446\/08659700.pdf?arnumber=8659700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T01:15:34Z","timestamp":1598231734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8659700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":16,"URL":"https:\/\/doi.org\/10.23919\/apsipa.2018.8659700","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}