{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T17:12:42Z","timestamp":1775581962654,"version":"3.50.1"},"reference-count":21,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2611886","type":"proceedings-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T17:15:22Z","timestamp":1645204522000},"page":"35","source":"Crossref","is-referenced-by-count":2,"title":["Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study"],"prefix":"10.1117","author":[{"given":"Gopichandh","family":"Danala","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai Kiran R.","family":"Maryada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huong","family":"Pham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Warid","family":"Islam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meredith","family":"Jones","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"R1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01806669"},{"key":"R2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.05.0455"},{"key":"R3","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2015.5231"},{"key":"R4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2009.12.005"},{"key":"R5","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2014.05.018"},{"key":"R6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aabefe"},{"key":"R7","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2017.04.014"},{"issue":"6","key":"R8","first-page":"1113","article-title":"Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma","volume":"28","author":"Liu","year":"2020","journal-title":"J. Xray. Sci. Technol"},{"issue":"7","key":"R9","first-page":"1837","article-title":"AI in Medical Imaging Informatics: Current Challenges and Future Directions,\u201d IEEE J. Biomed. Heal","volume":"24","author":"Panayides","year":"2020","journal-title":"Informatics"},{"key":"R10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.03.002"},{"key":"R11","first-page":"2100212","article-title":"Histogram-Based Features Selection and Volume of Interest Ranking for Brain PET Image Classification.,\u201d IEEE J. Transl. Eng. Heal","volume":"6","author":"Garali","year":"2018","journal-title":"Med"},{"key":"R12","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aaa1ca"},{"key":"R13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.42"},{"key":"R14","first-page":"1","article-title":"Transfusion: Understanding Transfer Learning for Medical Imaging","volume":"32","author":"Raghu","year":"2019","journal-title":"in Advances in Neural Information Processing Systems"},{"key":"R15","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.20224"},{"key":"R16","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-020-00159-0"},{"key":"R17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.895460"},{"key":"R18","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-018-2044-4"},{"key":"R19","first-page":"770","article-title":"Deep Residual Learning for Image Recognition,\u201d In 2016 IEEE Confernece on Computer","volume":"7","author":"He","year":"2016","journal-title":"Vision and Pattern Recognition"},{"issue":"5","key":"R20","first-page":"763","article-title":"Preoperative prediction of histologic grade in invasive breast cancer by using contrast-enhanced spectral mammography-based radiomics","volume":"29","author":"Mao","year":"2021","journal-title":"J. Xray. Sci. Technol"},{"key":"R21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2020.104284"}],"event":{"name":"Image Perception, Observer Performance, and Technology Assessment","location":"San Diego, United States","start":{"date-parts":[[2022,2,20]]},"end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment"],"original-title":[],"deposited":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T01:33:38Z","timestamp":1656812018000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12035\/2611886\/Comparison-of-performance-in-breast-lesions-classification-using-radiomics-and\/10.1117\/12.2611886.full"}},"subtitle":[],"editor":[{"given":"Claudia R.","family":"Mello-Thoms","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Sian","family":"Taylor-Phillips","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1117\/12.2611886","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}