{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:10Z","timestamp":1750220650988,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T00:00:00Z","timestamp":1574208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Universitas Indonesia","award":[", Hibah Publikasi Internasional Terindeks 9 (PIT 9) No:NKB-0011\/UN2.R3.1\/HKP.05.00\/2019"],"award-info":[{"award-number":[", Hibah Publikasi Internasional Terindeks 9 (PIT 9) No:NKB-0011\/UN2.R3.1\/HKP.05.00\/2019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11,20]]},"DOI":"10.1145\/3372454.3372461","type":"proceedings-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T12:17:26Z","timestamp":1579609046000},"page":"54-59","source":"Crossref","is-referenced-by-count":0,"title":["Performance Analysis of Deep Learning Network Models of Localized Images in Chest X-ray Decision Support System"],"prefix":"10.1145","author":[{"given":"Ari","family":"Wibisono","sequence":"first","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]},{"given":"Jihan","family":"Adibah","sequence":"additional","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]},{"given":"Faisal Satrio","family":"Priatmadji","sequence":"additional","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]},{"given":"Nabilah Zhafira","family":"Viderisa","sequence":"additional","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]},{"given":"Aisyah","family":"Husna","sequence":"additional","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]},{"given":"Petrus","family":"Mursanto","sequence":"additional","affiliation":[{"name":"Universitas Indonesia, Depok, Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2020,1,21]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Goodfellow I. Bengio Y. Courville A.: Deep Learning. MIT Press Cambridge(2016) Goodfellow I. Bengio Y. Courville A.: Deep Learning. MIT Press Cambridge(2016)"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.038"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.09.116"},{"issue":"3","key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1378\/chest.115.3.720","article-title":"Miss rate of lung cancer on the chest radiograph in clinical practice","volume":"115","author":"Quekel A.","year":"1999","journal-title":"Chest"},{"key":"e_1_3_2_1_7_1","unstructured":"CHASE Art. No. 8010614 CHASE Y. Dong J. Pan W. Zhang CNN Xu Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications Systems and Engineering Technologies 2017 51 57"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"e_1_3_2_1_10_1","unstructured":"June 2018. June 2018. Producing radiologist-quality reports for interpretable artificial intelligence https:\/\/arxiv.org\/abs\/1806.00340"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2016.2628365"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"X. Wang Y. Peng L. Lu Z. Lu R.M. Summers \"Tienet: Text-image embedding network for common thorax disease classification and reporting in chest X-rays \" arXiv preprint arXiv:1801.04334 (2018). X. Wang Y. Peng L. Lu Z. Lu R.M. Summers \"Tienet: Text-image embedding network for common thorax disease classification and reporting in chest X-rays \" arXiv preprint arXiv:1801.04334 (2018).","DOI":"10.1109\/CVPR.2018.00943"},{"key":"e_1_3_2_1_13_1","unstructured":"2017 International Joint Conference on Neural Networks (IJCNN) Anchorage AK 2017 International Joint Conference on Neural Networks (IJCNN) X. Wang G. Xie Z. Bian X. Hou P. Cheng Prasong 2017 3169 3175"},{"key":"e_1_3_2_1_14_1","unstructured":"NIH Chest X-ray Dataset https:\/\/www.kaggle.com\/nih-chest-xrays\/data\/home. NIH Chest X-ray Dataset https:\/\/www.kaggle.com\/nih-chest-xrays\/data\/home."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"X. Wang Y. Peng L. Lu Z. Lu M. Bagheri and R. M. Summers \"Chest X-ray8: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases \" 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu HI 2017 pp. 3462--3471 X. Wang Y. Peng L. Lu Z. Lu M. Bagheri and R. M. Summers \"Chest X-ray8: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases \" 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu HI 2017 pp. 3462--3471","DOI":"10.1109\/CVPR.2017.369"},{"key":"e_1_3_2_1_17_1","unstructured":"HI 2017 HI 2017 Z. Huang L. v. d. Liu K. Q. Maaten Weinberger Densely Connected Convolution-al Networks \" 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu 2261 2269"},{"key":"e_1_3_2_1_18_1","unstructured":"NV 2016 NV 2016 X. He S. Zhang J. Ren Sun Deep Residual Learning for Image Recognition \" 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas 770 778"},{"key":"e_1_3_2_1_19_1","unstructured":"NV 2016 NV 2016 V. Szegedy S. Vanhoucke J. Ioffe Z. Shlens Wojna Rethinking the Inception Architecture for Computer Vision \" 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas 2818 2826"},{"key":"e_1_3_2_1_20_1","unstructured":"B. Zoph et al. Learning Transferable Architectures for Scalable Image Recognition https:\/\/arxiv.org\/abs\/1707.07012 2017. B. Zoph et al. Learning Transferable Architectures for Scalable Image Recognition https:\/\/arxiv.org\/abs\/1707.07012 2017."},{"key":"e_1_3_2_1_21_1","first-page":"4278","article-title":"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning","author":"Szegedy","year":"2017","journal-title":"Proceedings of 31st AAAI Conference on Artificial Intelligence"},{"key":"e_1_3_2_1_22_1","unstructured":"C. Bruce ChexNet Keras https:\/\/github.com\/brucechou1983\/ CheXNet-Keras 2018. C. Bruce ChexNet Keras https:\/\/github.com\/brucechou1983\/ CheXNet-Keras 2018."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"}],"event":{"name":"ICBDR 2019: 2019 The 3rd International Conference on Big Data Research","sponsor":["Shandong Univ. Shandong University","The University of Versailles Saint-Quentin The University of Versailles Saint-Quentin, Versailles, France"],"location":"Cergy-Pontoise France","acronym":"ICBDR 2019"},"container-title":["Proceedings of the 2019 3rd International Conference on Big Data Research"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3372454.3372461","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:22Z","timestamp":1750197742000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/doi\/10.1145\/3372454.3372461"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,20]]},"references-count":23,"alternative-id":["10.1145\/3372454.3372461","10.1145\/3372454"],"URL":"https:\/\/doi.org\/10.1145\/3372454.3372461","relation":{},"subject":[],"published":{"date-parts":[[2019,11,20]]}}}