{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:02:54Z","timestamp":1743094974766,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030530358"},{"type":"electronic","value":"9783030530365"}],"license":[{"start":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T00:00:00Z","timestamp":1596758400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T00:00:00Z","timestamp":1596758400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-53036-5_16","type":"book-chapter","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T12:07:37Z","timestamp":1596715657000},"page":"152-158","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classification of Chest Diseases Using Deep Learning"],"prefix":"10.1007","author":[{"given":"Jes\u00fas","family":"Silva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jack","family":"Zilberman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yisel Pinillos","family":"Pati\u00f1o","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noel","family":"Varela","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar Bonerge Pineda","family":"Lezama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,7]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Song, Q., Zhao, L., Luo, X., Dou, X.: Using deep learning for classification of lung nodules on computed tomography images. J. Healthc. Eng. (2017)","DOI":"10.1155\/2017\/8314740"},{"issue":"5","key":"16_CR2","first-page":"36","volume":"51","author":"S Pouyanfar","year":"2018","unstructured":"Pouyanfar, S., Sadiq, S., Yan, Y., Tian, H., Tao, Y., Presa Reyes, M., Shyu, M.-L., Chen, S.-C., Iyengar, S.S.: A survey on deep learning: algorithms, techniques, and applications. ACM Comput. Surv. 51(5), 36 (2018). Article 92","journal-title":"ACM Comput. Surv."},{"key":"16_CR3","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"G Litjens","year":"2017","unstructured":"Litjens, G., et al.: A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60\u201388 (2017)","journal-title":"Med. Image Anal."},{"issue":"2","key":"16_CR4","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1109\/JBHI.2019.2928369","volume":"24","author":"H Wang","year":"2019","unstructured":"Wang, H., Jia, H., Lu, L., Xia, Y.: Thorax-Net: an attention regularized deep neural network for classification of Thoracic diseases on chest radiography. IEEE J. Biomed. Health Inform. 24(2), 475\u2013485 (2019)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"1","key":"16_CR5","doi-asserted-by":"publisher","first-page":"441","DOI":"10.12928\/telkomnika.v18i1.12997","volume":"18","author":"GA Shadeed","year":"2020","unstructured":"Shadeed, G.A., Tawfeeq, M.A., Mahmoud, S.M.: Deep learning model for thorax diseases detection. Telkomnika 18(1), 441\u2013449 (2020)","journal-title":"Telkomnika"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Viloria, A., Bucci, N., Luna, M., Lis-Guti\u00e9rrez, J.P., Parody, A., Bent, D.E.S., L\u00f3pez, L.A.B.: Determination of dimensionality of the psychosocial risk assessment of internal, individual, double presence and external factors in work environments. In: International Conference on Data Mining and Big Data, pp. 304\u2013313. Springer, Cham, June 2018","DOI":"10.1007\/978-3-319-93803-5_29"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Mao, K.P., Xie, S.P., Shao, W.Z.: Automatic Segmentation of Thorax CT Images with Fully Convolutional Networks. In: Current Trends in Computer Science and Mechanical Automation vol. 1, pp. 402\u2013412. Sciendo Migration (2017)","DOI":"10.1515\/9783110584974-044"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.J., Shamma, D. A., Bernstein, M., Fei-Fei, L.: Visual genome: Connecting language and vision using crowdsourced dense image annotations (2016)","DOI":"10.1007\/s11263-016-0981-7"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Wang, X., Peng, Y., Lu, L., Lu, Z., Summers, R. M.: Automatic classification and reporting of multiple common thorax diseases using chest radiographs. In: Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, pp. 393\u2013412. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-13969-8_19"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Trullo, R., Petitjean, C., Ruan, S., Dubray, B., Nie, D., Shen, D.: Segmentation of organs at risk in thoracic CT images using a sharpmask architecture and conditional random fields. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 1003\u20131006. IEEE, April 2017","DOI":"10.1109\/ISBI.2017.7950685"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., Summers, R.M.: Chestx-ray8: Hospital- scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. arXiv preprint \narXiv:1705.02315\n\n (2017)","DOI":"10.1109\/CVPR.2017.369"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Ming, J.T.C., Noor, N.M., Rijal, O.M., Kassim, R.M., Yunus, A.: Lung disease classification using different deep learning architectures and principal component analysis. In: 2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), pp. 187\u2013190. IEEE, July 2018","DOI":"10.1109\/ICBAPS.2018.8527385"},{"key":"16_CR13","unstructured":"Yao, L., Poblenz, E., Dagunts, D., Covington, B., Bernard, D., Lyman, K.: Learning to diagnose from scratch by exploiting dependencies among labels. arXiv preprint \narXiv:1710.10501\n\n (2017)"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Dodge, S., Karam, L.: Understanding how image quality affects deep neural networks. In: Eighth International Conference on Quality of Multimedia Experience (QoMEX), IEEE, pp. 1\u20136. \narXiv:1604.04004v2\n\n (2016)","DOI":"10.1109\/QoMEX.2016.7498955"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., Summers, R.M.: Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2097\u20132106 (2017)","DOI":"10.1109\/CVPR.2017.369"},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Z., Chen, H., Liu, H.: Deep Learning Based Framework for Direct Reconstruction of PET Images. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 48\u201356. Springer, Cham, October 2019","DOI":"10.1007\/978-3-030-32248-9_6"},{"key":"16_CR17","doi-asserted-by":"crossref","unstructured":"Gamero, W.M., Agudelo-Casta\u00f1eda, D., Ramirez, M. C., Hernandez, M. M., Mendoza, H. P., Parody, A., Viloria, A.: Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models. In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 210\u2013218. Springer, Cham, November 2018","DOI":"10.1007\/978-3-030-03496-2_24"}],"container-title":["Advances in Intelligent Systems and Computing","Distributed Computing and Artificial Intelligence, 17th International Conference"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-53036-5_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T12:23:51Z","timestamp":1596716631000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-53036-5_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,7]]},"ISBN":["9783030530358","9783030530365"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-53036-5_16","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,7]]},"assertion":[{"value":"7 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Computing and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"L\u00b4Aquila","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dcai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dcai-conference.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}