{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:27:05Z","timestamp":1762342025516,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,18]],"date-time":"2022-09-18T00:00:00Z","timestamp":1663459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Research, Development and Innovation Fund Hungary","award":["\u00daNKP-21-5-BME-362"],"award-info":[{"award-number":["\u00daNKP-21-5-BME-362"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,18]]},"DOI":"10.1145\/3569192.3569209","type":"proceedings-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T13:55:03Z","timestamp":1674827703000},"page":"102-110","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Automatic lung segmentation in CT scans using guided filtering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4547-3923","authenticated-orcid":false,"given":"Gabor","family":"Revy","sequence":"first","affiliation":[{"name":"Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6233-5530","authenticated-orcid":false,"given":"Daniel","family":"Hadhazi","sequence":"additional","affiliation":[{"name":"Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4765-2351","authenticated-orcid":false,"given":"Gabor","family":"Hullam","sequence":"additional","affiliation":[{"name":"Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary"}]}],"member":"320","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.1.84-87"},{"key":"e_1_3_2_1_2_1","volume-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","author":"Chen Liang-Chieh","year":"2017","unstructured":"Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan\u00a0L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40, 4(2017), 834\u2013848."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-4485(89)90046-8"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"e_1_3_2_1_5_1","volume-title":"Active shape models-their training and application. Computer vision and image understanding 61, 1","author":"Cootes F","year":"1995","unstructured":"Timothy\u00a0F Cootes, Christopher\u00a0J Taylor, David\u00a0H Cooper, and Jim Graham. 1995. Active shape models-their training and application. Computer vision and image understanding 61, 1 (1995), 38\u201359."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.7.3.94-101"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_8_1","volume-title":"Guided image filtering","author":"He Kaiming","year":"2012","unstructured":"Kaiming He, Jian Sun, and Xiaoou Tang. 2012. Guided image filtering. IEEE transactions on pattern analysis and machine intelligence 35, 6(2012), 1397\u20131409."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-020-00173-2"},{"key":"e_1_3_2_1_11_1","volume-title":"Gabriel\u00a0Bandeira Holanda, Shara\u00a0SA Alves, Francisco Hercules dos\u00a0S Silva, Tao Han, and Pedro\u00a0P Reboucas\u00a0Filho.","author":"Hu Qinhua","year":"2020","unstructured":"Qinhua Hu, Luis Fabricio de\u00a0F Souza, Gabriel\u00a0Bandeira Holanda, Shara\u00a0SA Alves, Francisco Hercules dos\u00a0S Silva, Tao Han, and Pedro\u00a0P Reboucas\u00a0Filho. 2020. An effective approach for CT lung segmentation using mask region-based convolutional neural networks. Artificial intelligence in medicine 103 (2020), 101792."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.929615"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.8.1.21-25"},{"key":"e_1_3_2_1_14_1","first-page":"106","article-title":"An image segmentation using improved FCM watershed algorithm and DBMF","volume":"2","author":"Kaur Rupinder","year":"2014","unstructured":"Rupinder Kaur and Er\u00a0Garima Malik. 2014. An image segmentation using improved FCM watershed algorithm and DBMF. Journal of Image and Graphics 2, 2 (2014), 106\u2013112.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_15_1","first-page":"166","article-title":"Image segmentation techniques: A survey","volume":"1","author":"Khan Waseem","year":"2013","unstructured":"Waseem Khan. 2013. Image segmentation techniques: A survey. Journal of Image and Graphics 1, 4 (2013), 166\u2013170.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(03)80099-5"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-53956-6_19"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2337057"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.7.4.134-139"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2008.04.005"},{"key":"e_1_3_2_1_21_1","first-page":"128","article-title":"Cancerous Masses Segmentation by Using Heuristic Ant Colony Algorithms in Medical Images","volume":"2","author":"Rezaee Mohammad","year":"2014","unstructured":"Mohammad Rezaee and Mohammad\u00a0Bagher Tavakoli. 2014. Cancerous Masses Segmentation by Using Heuristic Ant Colony Algorithms in Medical Images,\u201c. Journal of Image and Graphics 2, 2 (2014), 128.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"No\u00ebl Richard Christine Fernandez\u00a0Maloigne Cristian Bonanomi and Alessandro Rizzi. 2013. Fuzzy color image segmentation using watershed transform. (2013).","DOI":"10.12720\/joig.1.3.157-160"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.770444"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.7.3.107-111"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.07.005"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12041959"},{"key":"e_1_3_2_1_28_1","volume-title":"Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach","author":"Sun Shanhui","year":"2011","unstructured":"Shanhui Sun, Christian Bauer, and Reinhard Beichel. 2011. Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach. IEEE transactions on medical imaging 31, 2 (2011), 449\u2013460."},{"key":"e_1_3_2_1_29_1","volume-title":"Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field. Medical physics 40, 4","author":"Tan Yongqiang","year":"2013","unstructured":"Yongqiang Tan, Lawrence\u00a0H Schwartz, and Binsheng Zhao. 2013. Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field. Medical physics 40, 4 (2013), 043502."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.9.1.9-14"},{"key":"e_1_3_2_1_31_1","volume-title":"Data from lung CT segmentation challenge. The cancer imaging archive 20","author":"Yang Jinzhong","year":"2017","unstructured":"Jinzhong Yang, Greg Sharp, Harini Veeraraghavan, Wouter van Elmpt, Andre Dekker, Tim Lustberg, and Mark Gooding. 2017. Data from lung CT segmentation challenge. The cancer imaging archive 20 (2017)."},{"key":"e_1_3_2_1_32_1","volume-title":"Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM","author":"Yang Jinzhong","year":"2017","unstructured":"Jinzhong Yang, Harini Veeraraghavan, Samuel\u00a0G Armato\u00a0III, Keyvan Farahani, Justin\u00a0S Kirby, Jayashree Kalpathy-Kramer, Wouter van Elmpt, Andre Dekker, Xiao Han, Xue Feng, 2018. Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017. Medical physics 45, 10 (2018), 4568\u20134581."}],"event":{"name":"ICBRA 2022: 2022 9th International Conference on Bioinformatics Research and Applications","acronym":"ICBRA 2022","location":"Berlin Germany"},"container-title":["Proceedings of the 9th International Conference on Bioinformatics Research and Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3569192.3569209","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3569192.3569209","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:42Z","timestamp":1750182702000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3569192.3569209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,18]]},"references-count":32,"alternative-id":["10.1145\/3569192.3569209","10.1145\/3569192"],"URL":"https:\/\/doi.org\/10.1145\/3569192.3569209","relation":{},"subject":[],"published":{"date-parts":[[2022,9,18]]},"assertion":[{"value":"2023-01-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}