{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T23:26:12Z","timestamp":1763421972923,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T00:00:00Z","timestamp":1638748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Royal Society International Exchanges Cost Share Award, UK","award":["RP202G0230"],"award-info":[{"award-number":["RP202G0230"]}]},{"name":"Medical Research Council Confidence in Concept Award, UK","award":["MC_PC_17171"],"award-info":[{"award-number":["MC_PC_17171"]}]},{"name":"Hope Foundation for Cancer Research, UK","award":["RM60G0680"],"award-info":[{"award-number":["RM60G0680"]}]},{"name":"British Heart Foundation Accelerator Award, UK","award":["AA\/18\/3\/34220"],"award-info":[{"award-number":["AA\/18\/3\/34220"]}]},{"name":"Sino-UK Industrial Fund, UK","award":["RP202G0289"],"award-info":[{"award-number":["RP202G0289"]}]},{"name":"Global Challenges Research Fund (GCRF), UK","award":["P202PF11"],"award-info":[{"award-number":["P202PF11"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,6]]},"DOI":"10.1145\/3492323.3495570","type":"proceedings-article","created":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T18:36:51Z","timestamp":1644259011000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge distillation for secondary pulmonary tuberculosis classification ensemble"],"prefix":"10.1145","author":[{"given":"Qinghua","family":"Zhou","sequence":"first","affiliation":[{"name":"University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengde","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Fourth People's Hospital of Huai'an, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yudong","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Mycobacterium tuberculosis: here today, and here tomorrow. Nature reviews Molecular cell biology, 2, 8","author":"Russell D. G.","year":"2001","unstructured":"Russell, D. G. Mycobacterium tuberculosis: here today, and here tomorrow. Nature reviews Molecular cell biology, 2, 8 (2001), 569--578."},{"key":"e_1_3_2_1_2_1","volume-title":"Global tuberculosis report 2020: executive summary","author":"Organization","year":"2020","unstructured":"Organization, W. H. Global tuberculosis report 2020: executive summary (2020)."},{"key":"e_1_3_2_1_3_1","first-page":"1","article-title":"-H. Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization","author":"Zhang Y.-D.","year":"2020","unstructured":"Zhang, Y.-D., Nayak, D. R., Zhang, X. and Wang, S.-H. Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization. Journal of Ambient Intelligence and Humanized Computing (2020), 1--18.","journal-title":"Journal of Ambient Intelligence and Humanized Computing ("},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1109\/ITME.2018.00020"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1016\/j.neucom.2018.12.086"},{"key":"e_1_3_2_1_6_1","first-page":"1","article-title":"-D. Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network","author":"Wang S.-H.","year":"2021","unstructured":"Wang, S.-H., Govindaraj, V., Gorriz, J. M., Zhang, X. and Zhang, Y.-D. Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network. Journal of Ambient Intelligence and Humanized Computing (2021), 1--14.","journal-title":"Journal of Ambient Intelligence and Humanized Computing ("},{"key":"e_1_3_2_1_7_1","volume-title":"High-resolution breast cancer screening with multi-view deep convolutional neural networks. arXiv preprint arXiv:1703.07047","author":"Geras K. J.","year":"2017","unstructured":"Geras, K. J., Wolfson, S., Shen, Y., Wu, N., Kim, S., Kim, E., Heacock, L., Parikh, U., Moy, L. and Cho, K. High-resolution breast cancer screening with multi-view deep convolutional neural networks. arXiv preprint arXiv:1703.07047 (2017)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1016\/j.neucom.2018.12.018"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1002\/widm.1249"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1016\/j.neucom.2019.12.017"},{"key":"e_1_3_2_1_11_1","volume-title":"City","author":"Zhang Y.-D.","year":"2020","unstructured":"Zhang, Y.-D., Nayak, D. R., Zhang, X. and Wang, S.-H. Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization. City, 2020."},{"key":"e_1_3_2_1_12_1","volume-title":"City","author":"Chollet F.","year":"2017","unstructured":"Chollet, F. Xception: Deep learning with depthwise separable convolutions. City, 2017."},{"key":"e_1_3_2_1_13_1","volume-title":"City","author":"Szegedy C.","year":"2016","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J. and Wojna, Z. Rethinking the inception architecture for computer vision. City, 2016."},{"key":"e_1_3_2_1_14_1","volume-title":"City","author":"Szegedy C.","year":"2017","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V. and Alemi, A. A. Inception-v4, inception-resnet and the impact of residual connections on learning. City, 2017."},{"key":"e_1_3_2_1_15_1","volume-title":"City","author":"Huang G.","year":"2017","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L. and Weinberger, K. Q. Densely connected convolutional networks. City, 2017."},{"key":"e_1_3_2_1_16_1","volume-title":"City","author":"He K.","year":"2016","unstructured":"He, K., Zhang, X., Ren, S. and Sun, J. Deep residual learning for image recognition. City, 2016."}],"event":{"sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE TCSC IEEE Technical Committee on Scalable Computing"],"acronym":"UCC '21","name":"UCC '21: 2021 IEEE\/ACM 14th International Conference on Utility and Cloud Computing","location":"Leicester United Kingdom"},"container-title":["Proceedings of the 14th IEEE\/ACM International Conference on Utility and Cloud Computing Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492323.3495570","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3492323.3495570","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T23:21:55Z","timestamp":1763421715000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492323.3495570"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,6]]},"references-count":16,"alternative-id":["10.1145\/3492323.3495570","10.1145\/3492323"],"URL":"https:\/\/doi.org\/10.1145\/3492323.3495570","relation":{},"subject":[],"published":{"date-parts":[[2021,12,6]]},"assertion":[{"value":"2022-02-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}