{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T10:09:23Z","timestamp":1759226963643,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T00:00:00Z","timestamp":1607126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Fundamental Research Funds for the Central Universities","award":["No. N2016001"],"award-info":[{"award-number":["No. N2016001"]}]},{"name":"the National Natural Science Foundation of China","award":["No. 62041601 and No.62076059"],"award-info":[{"award-number":["No. 62041601 and No.62076059"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,5]]},"DOI":"10.1145\/3451421.3451455","type":"proceedings-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T14:38:41Z","timestamp":1630075121000},"page":"156-162","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images"],"prefix":"10.1145","author":[{"given":"Yafang","family":"Chen","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China, China"}]},{"given":"Peng","family":"Cao","sequence":"additional","affiliation":[{"name":"Northeastern University, China"}]},{"given":"Lili","family":"Dou","sequence":"additional","affiliation":[{"name":"Neusoft Corporation, Shenyang, China, China"}]},{"given":"Jinzhu","family":"Yang","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China, China"}]}],"member":"320","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"volume-title":"CA: a cancer journal for clinicians","author":"Siegel Rebecca L","key":"e_1_3_2_1_1_1","unstructured":"Rebecca L Siegel , Kimberly D Miller , and Ahmedin Jemal , \u201c Cancer statistics, 2015 ,\u201d CA: a cancer journal for clinicians , vol. 65 , no. 1, pp. 5\u201329, 2015. Rebecca L Siegel, Kimberly D Miller, and Ahmedin Jemal, \u201cCancer statistics, 2015,\u201d CA: a cancer journal for clinicians, vol. 65, no. 1, pp. 5\u201329, 2015."},{"key":"e_1_3_2_1_2_1","first-page":"650","volume-title":"2010 International Conference on Computer Application and System Modeling","author":"Liu Yang","year":"2010","unstructured":"Yang Liu , Zhian Xing , C. Deng , Ping Li , and M. Guo , \u201c Automatically detecting lung nodules based on shape descriptor and semi-supervised learning ,\u201d in 2010 International Conference on Computer Application and System Modeling , 2010 , pp. V1\u2013647\u2013V1\u2013 650 . Yang Liu, Zhian Xing, C. Deng, Ping Li, and M. Guo, \u201cAutomatically detecting lung nodules based on shape descriptor and semi-supervised learning,\u201d in 2010 International Conference on Computer Application and System Modeling, 2010, pp. V1\u2013647\u2013V1\u2013650."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2613502"},{"key":"e_1_3_2_1_4_1","first-page":"04303","article-title":"Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks","volume":"1706","author":"Ding Jia","year":"2017","unstructured":"Jia Ding , Aoxue Li , Zhiqiang Hu , and Liwei Wang , \u201c Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks ,\u201d CoRR , vol. abs\/ 1706 . 04303 , 2017 . Jia Ding, Aoxue Li, Zhiqiang Hu, and Liwei Wang, \u201cAccurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks,\u201d CoRR, vol. abs\/1706.04303, 2017.","journal-title":"CoRR"},{"key":"e_1_3_2_1_5_1","first-page":"1","volume-title":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","author":"J. Chang","year":"2018","unstructured":"J. Chang , \" Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss,\" 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) , Beijing, China , 2018 , pp. 1 - 5 , doi: 10.1109\/CISP-BMEI.2018.8633056. 10.1109\/CISP-BMEI.2018.8633056 J. Chang , \"Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss,\" 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Beijing, China, 2018, pp. 1-5, doi: 10.1109\/CISP-BMEI.2018.8633056."},{"key":"e_1_3_2_1_6_1","first-page":"150","volume-title":"Bangalore","author":"Gomathi M.","year":"2010","unstructured":"M. Gomathi and P. P. Thangaraj , \" Automated CAD for Lung Nodule Detection using CT Scans,\" 2010 International Conference on Data Storage and Data Engineering , Bangalore , 2010 , pp. 150 - 153 , doi: 10.1109\/DSDE.2010.62. 10.1109\/DSDE.2010.62 M. Gomathi and P. P. Thangaraj, \"Automated CAD for Lung Nodule Detection using CT Scans,\" 2010 International Conference on Data Storage and Data Engineering, Bangalore, 2010, pp. 150-153, doi: 10.1109\/DSDE.2010.62."},{"key":"e_1_3_2_1_7_1","first-page":"2685","volume-title":"Chennai","author":"Rodda S.","year":"2016","unstructured":"S. Rodda and U. S. R. Erothi , \"Class imbalance problem in the Network Intrusion Detection Systems,\" 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) , Chennai , 2016 , pp. 2685 - 2688 , doi: 10.1109\/ICEEOT.2016.7755181. 10.1109\/ICEEOT.2016.7755181 S. Rodda and U. S. R. Erothi, \"Class imbalance problem in the Network Intrusion Detection Systems,\" 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, 2016, pp. 2685-2688, doi: 10.1109\/ICEEOT.2016.7755181."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_3_2_1_9_1","first-page":"859","volume-title":"Venice","author":"Tang H.","year":"2019","unstructured":"H. Tang , X. Liu and X. Xie , \" An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction,\" 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) , Venice , Italy , 2019 , pp. 859 - 862 , doi: 10.1109\/ISBI.2019.8759244. 10.1109\/ISBI.2019.8759244 H. Tang, X. Liu and X. Xie, \"An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction,\" 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, 2019, pp. 859-862, doi: 10.1109\/ISBI.2019.8759244."},{"key":"e_1_3_2_1_10_1","first-page":"580","volume-title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,\" 2014 IEEE Conference on Computer Vision and Pattern Recognition","author":"Girshick R.","year":"2014","unstructured":"R. Girshick , J. Donahue , T. Darrell and J. Malik , \" Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,\" 2014 IEEE Conference on Computer Vision and Pattern Recognition , Columbus, OH , 2014 , pp. 580 - 587 , doi: 10.1109\/CVPR.2014.81. 10.1109\/CVPR.2014.81 R. Girshick, J. Donahue, T. Darrell and J. Malik, \"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,\" 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 2014, pp. 580-587, doi: 10.1109\/CVPR.2014.81."},{"issue":"11","key":"e_1_3_2_1_11_1","first-page":"3484","volume":"30","author":"Fangzhou Liao","year":"2019","unstructured":"Liao Fangzhou , Liang Ming , Li Zhe , Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. . 2019 , 30 ( 11 ): 3484 - 3495 . Liao Fangzhou, Liang Ming, Li Zhe, Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.. 2019, 30(11):3484-3495.","journal-title":"Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network."},{"key":"e_1_3_2_1_12_1","first-page":"1214","volume-title":"Brighton","author":"Li F.","year":"2019","unstructured":"F. Li , H. Huang , Y. Wu , C. Cai , Y. Huang and X. Ding , \" Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit,\" ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Brighton , United Kingdom , 2019 , pp. 1214 - 1218 , doi: 10.1109\/ICASSP.2019.8683537. 10.1109\/ICASSP.2019.8683537 F. Li, H. Huang, Y. Wu, C. Cai, Y. Huang and X. Ding, \"Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit,\" ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 1214-1218, doi: 10.1109\/ICASSP.2019.8683537."},{"key":"e_1_3_2_1_13_1","first-page":"2999","volume-title":"Venice","author":"Lin T.","year":"2017","unstructured":"T. Lin , P. Goyal , R. Girshick , K. He and P. Doll\u00e1r , \" Focal Loss for Dense Object Detection,\" 2017 IEEE International Conference on Computer Vision (ICCV) , Venice , 2017 , pp. 2999 - 3007 , doi: 10.1109\/ICCV.2017.324. 10.1109\/ICCV.2017.324 T. Lin, P. Goyal, R. Girshick, K. He and P. Doll\u00e1r, \"Focal Loss for Dense Object Detection,\" 2017 IEEE International Conference on Computer Vision (ICCV), Venice, 2017, pp. 2999-3007, doi: 10.1109\/ICCV.2017.324."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.015"},{"key":"e_1_3_2_1_15_1","first-page":"1005","volume-title":"Speech and Signal Processing (ICASSP)","author":"Qin Y.","year":"2018","unstructured":"Y. Qin , H. Zheng , Y. Zhu and J. Yang , \" Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs,\" 2018 IEEE International Conference on Acoustics , Speech and Signal Processing (ICASSP) , Calgary, AB , 2018 , pp. 1005 - 1009 , doi: 10.1109\/ICASSP.2018.8462546. 10.1109\/ICASSP.2018.8462546 Y. Qin, H. Zheng, Y. Zhu and J. Yang, \"Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs,\" 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 1005-1009, doi: 10.1109\/ICASSP.2018.8462546."},{"key":"e_1_3_2_1_16_1","first-page":"03540","article-title":"Training region-based object detectors with online hard example mining","volume":"1604","author":"Shrivastava Abhinav","year":"2016","unstructured":"Abhinav Shrivastava , \u201c Training region-based object detectors with online hard example mining ,\u201d CoRR , vol. abs\/ 1604 . 03540 , 2016 . Abhinav Shrivastava , \u201cTraining region-based object detectors with online hard example mining,\u201d CoRR, vol. abs\/1604.03540, 2016.","journal-title":"CoRR"},{"issue":"8","key":"e_1_3_2_1_17_1","first-page":"1","article-title":"Receiver operating characteristic analysis in medical imaging","volume":"79","author":"Kundel HL","year":"2008","unstructured":"HL Kundel , KS Berbaum , DD Dorfman , D Gur , CE Metz , and RG Swensson , \u201c Receiver operating characteristic analysis in medical imaging ,\u201d ICRU Report , vol. 79 , no. 8 , pp. 1 , 2008 . HL Kundel, KS Berbaum, DD Dorfman, D Gur, CE Metz, and RG Swensson, \u201cReceiver operating characteristic analysis in medical imaging,\u201d ICRU Report, vol. 79, no. 8, pp. 1, 2008.","journal-title":"ICRU Report"}],"event":{"name":"ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine","acronym":"ISICDM 2020","location":"Shenyang China"},"container-title":["The Fourth International Symposium on Image Computing and Digital Medicine"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451455","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3451421.3451455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:31Z","timestamp":1750191451000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451455"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,5]]},"references-count":17,"alternative-id":["10.1145\/3451421.3451455","10.1145\/3451421"],"URL":"https:\/\/doi.org\/10.1145\/3451421.3451455","relation":{},"subject":[],"published":{"date-parts":[[2020,12,5]]},"assertion":[{"value":"2021-08-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}