{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T02:40:31Z","timestamp":1755830431888,"version":"3.44.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/bibm47256.2019.8983353","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T02:49:51Z","timestamp":1581043791000},"page":"1641-1648","source":"Crossref","is-referenced-by-count":0,"title":["A Review of Intelligent Image Processing Method of Pulmonary CT Images"],"prefix":"10.1109","author":[{"given":"Wenjun","family":"Tan","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China"}]},{"given":"Pan","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China"}]},{"given":"Hui","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China"}]},{"given":"Jinzhu","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China"}]},{"given":"Xiaoxia","family":"Yin","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"}]},{"given":"Yanchun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Centre for Applied Informatics, College of Engineering and Science, Victoria University,Melbourne,Australia"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2019.00280"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2536809"},{"key":"ref32","article-title":"BrainNetCNN: Convolutional neural networks for brain networks;towards predicting neurodevelopment [J]","author":"kawahara","year":"2016","journal-title":"NeuroImage"},{"journal-title":"Alzheimer's disease diagnostics by adeeply supervised adaptable 3D convolutional network [J\/OL]","year":"0","author":"hosseini-asl","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.canlet.2016.05.033"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920862"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9712970"},{"journal-title":"Accurate pulmonary nodule detection in computedtomography images using deep convolutional neural networks [J\/OL]","year":"0","author":"ding","key":"ref35"},{"journal-title":"Automated pulmonary nodule detectionvia 3d convnets with online sample filtering and hybrid-loss residual learning [J\/OL]","year":"0","author":"dou","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/12.2293309"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.03.004"},{"key":"ref12","first-page":"1","article-title":"Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans[J]","author":"lee","year":"2018","journal-title":"Journal of Digital Imaging"},{"key":"ref13","first-page":"1","article-title":"Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume[J]","author":"meng","year":"2016","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.10.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2147\/COPD.S81748"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1183\/13993003.01878-2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.07.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2014.07.001"},{"key":"ref19","first-page":"782","article-title":"A preliminary study for automated recognition of branches of pulmonary artery and vein usinganatomical positional relations from a 3-D chest X-ray CT image[C]","author":"yamaguchi","year":"0","journal-title":"CARS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1118\/1.4703901"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-62941-4_2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-011-2278-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccm.2011.09.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtcvs.2015.06.051"},{"key":"ref29","first-page":"1","article-title":"FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images[J]","author":"gerard","year":"2018","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/1759-7714.12169"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2035813"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2035813"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(09)70213-X"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2013.6556772"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3197-8_2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1118\/1.4811203"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2011.6004964"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"3016","DOI":"10.1109\/TBME.2012.2212894","article-title":"A new paradigm of interactive artery\/vein separation in noncontrast pulmonary CT imaging using multiscale topomorphologic opening","volume":"59","author":"gao","year":"2012","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2500279"},{"key":"ref23","first-page":"53","article-title":"Adaptive higher-order submodular potentials for pulmonary artery-vein segmentation[J]","author":"kitamura","year":"0","journal-title":"Proc Fifth Int Work Pulm Image Anal"},{"key":"ref26","first-page":"1383","article-title":"Segmentation of pulmonary lobes in high-resolution isotropic CT images [J]","volume":"56","author":"wei","year":"2009","journal-title":"IEEE Trans Med Imag"},{"key":"ref25","article-title":"Pulmonary vessel segmentation utilizing curved planar reformation and optimal path finding (CROP) in computed tomography pulmonary angiography (CTPA) for CAD applications[C]","author":"zhou","year":"0","journal-title":"Proc SPIE"}],"event":{"name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2019,11,18]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8965270\/8982928\/08983353.pdf?arnumber=8983353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:24:52Z","timestamp":1755800692000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8983353\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/bibm47256.2019.8983353","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}