{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T05:33:25Z","timestamp":1736573605786,"version":"3.32.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"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":[[2024,11,9]]},"DOI":"10.1109\/scisisis61014.2024.10760163","type":"proceedings-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T18:35:23Z","timestamp":1733164523000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Extraction and Classification of Lung Nodule Features Using Fusion Method of Self-Supervised Encoder Learning and Supervised Transfer Learning"],"prefix":"10.1109","author":[{"given":"Siqiao","family":"Yi","sequence":"first","affiliation":[{"name":"Software College, Northeastern University,Shenyang,China,110819"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiyan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University,Shenyang,China,110819"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University,Shenyang,China,110819"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoyu","family":"Tong","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University,Shenyang,China,110819"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongfei","family":"Zeng","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University,Shenyang,China,110819"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianhua","family":"Han","sequence":"additional","affiliation":[{"name":"Graduate School of Artificial Intelligence and Science, Rikkyo University,Tokyo,Japan,1718501"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Pei","sequence":"additional","affiliation":[{"name":"The University of Aizu,Computer Science Division,Fukushima,Japan,965-8580"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2016.16187"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0036-1592314"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1378\/chest.07-1352"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1378\/chest.06-1261"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-020-00372-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00872"},{"key":"ref8","first-page":"3","volume-title":"A systematic benchmarking analysis of transfer learning for medical image analysis","author":"Taher","year":"2021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00537"},{"key":"ref10","first-page":"512","volume":"33","author":"Neyshabur","year":"2020","journal-title":"What is being transferred in transfer learning?"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.2992393"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3060634"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3089292"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102879"},{"key":"ref16","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"volume-title":"Representation learning with contrastive predictive coding","year":"2018","author":"Oord","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"volume-title":"Adversarially learned inference","year":"2016","author":"Dumoulin","key":"ref23"},{"volume-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref24"},{"key":"ref25","first-page":"30392","volume":"34","author":"Xiao","year":"2021","journal-title":"Early convolutions help transformers see better"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1118\/1.3528204"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.029"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6619"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/math11112466"},{"volume-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and<; 0.5 MB model size","year":"2016","author":"Iandola","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.107278"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107825"},{"key":"ref34","first-page":"12116","volume":"34","author":"Raghu","year":"2021","journal-title":"Do vision transformers see like convolutional neural networks?"}],"event":{"name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","start":{"date-parts":[[2024,11,9]]},"location":"Himeji, Japan","end":{"date-parts":[[2024,11,12]]}},"container-title":["2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10759795\/10759863\/10760163.pdf?arnumber=10760163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T19:46:14Z","timestamp":1736538374000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10760163\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,9]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/scisisis61014.2024.10760163","relation":{},"subject":[],"published":{"date-parts":[[2024,11,9]]}}}