{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T09:07:25Z","timestamp":1771664845314,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,3]],"date-time":"2023-09-03T00:00:00Z","timestamp":1693699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,3]]},"DOI":"10.1145\/3584371.3612983","type":"proceedings-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T18:52:30Z","timestamp":1696445550000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4769-2370","authenticated-orcid":false,"given":"Conrad T","family":"Testagrose","sequence":"first","affiliation":[{"name":"College of Computing, University of North Florida, Jacksonville, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6786-9865","authenticated-orcid":false,"given":"Vikash","family":"Gupta","sequence":"additional","affiliation":[{"name":"Center for Augmented Intelligence in Imaging, Mayo Clinic, Jacksonville, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3637-0102","authenticated-orcid":false,"given":"Barbaros S","family":"Erdal","sequence":"additional","affiliation":[{"name":"Center for Augmented Intelligence in Imaging, Mayo Clinic, Jacksonville, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1133-7819","authenticated-orcid":false,"given":"Richard D","family":"White","sequence":"additional","affiliation":[{"name":"Center for Augmented Intelligence in Imaging, Mayo Clinic, Jacksonville, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5444-1306","authenticated-orcid":false,"given":"Robert W","family":"Maxwell","sequence":"additional","affiliation":[{"name":"Center for Augmented Intelligence in Imaging, Mayo Clinic, Jacksonville, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5149-5539","authenticated-orcid":false,"given":"Xudong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computing, University of North Florida, Jacksonville, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4536-6917","authenticated-orcid":false,"given":"Indika","family":"Kahanda","sequence":"additional","affiliation":[{"name":"College of Computing, University of North Florida, Jacksonville, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7729-1270","authenticated-orcid":false,"given":"Sherif","family":"Elfayoumy","sequence":"additional","affiliation":[{"name":"College of Computing, University of North Florida, Jacksonville, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4760-2469","authenticated-orcid":false,"given":"William","family":"Klostermeyer","sequence":"additional","affiliation":[{"name":"College of Computing, University of North Florida, Jacksonville, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6842-282X","authenticated-orcid":false,"given":"Mutlu","family":"Demirer","sequence":"additional","affiliation":[{"name":"Center for Augmented Intelligence in Imaging, Mayo Clinic, Jacksonville, Florida, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,10,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n. d.]. ACR statement on reporting breast density in mammography reports and patient summaries. https:\/\/www.acr.org\/Advocacy-and-Economics\/ACR-Position-Statements\/Reporting-Breast-Density. Accessed: 2022-11-10.  [n. d.]. ACR statement on reporting breast density in mammography reports and patient summaries. https:\/\/www.acr.org\/Advocacy-and-Economics\/ACR-Position-Statements\/Reporting-Breast-Density. Accessed: 2022-11-10."},{"key":"e_1_3_2_1_2_1","volume-title":"d.]. DenseBreast-info","year":"2023","unstructured":"[n. d.]. DenseBreast-info , Inc. Legislative information. https:\/\/densebreast-info.org\/legislative-information Accessed : 2023 -1-2. [n. d.]. DenseBreast-info, Inc. Legislative information. https:\/\/densebreast-info.org\/legislative-information Accessed: 2023-1-2."},{"key":"e_1_3_2_1_3_1","unstructured":"[n. d.]. Densitas. https:\/\/densitashealth.ca\/solutions\/density\/ Accessed: 2023-1-5.  [n. d.]. Densitas. https:\/\/densitashealth.ca\/solutions\/density\/ Accessed: 2023-1-5."},{"key":"e_1_3_2_1_4_1","unstructured":"[n. d.]. PowerLook Density Assessment. https:\/\/www.icadmed.com\/powerlook-density-assessment.html Accessed: 2023-1-5.  [n. d.]. PowerLook Density Assessment. https:\/\/www.icadmed.com\/powerlook-density-assessment.html Accessed: 2023-1-5."},{"key":"e_1_3_2_1_5_1","unstructured":"[n. d.]. Synthesized 2D Mammographic Imaging Theory and Clinical Performance. https:\/\/www.hologic.com\/sites\/default\/files\/C-View%20White%20Paper%2C%20Dr.%20Andrew%20Smith.pdf Accessed: 2023-1-5.  [n. d.]. Synthesized 2D Mammographic Imaging Theory and Clinical Performance. https:\/\/www.hologic.com\/sites\/default\/files\/C-View%20White%20Paper%2C%20Dr.%20Andrew%20Smith.pdf Accessed: 2023-1-5."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.188.3.8351351"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/39\/10\/008"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.05587"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2012.01.005"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"e_1_3_2_1_11_1","volume-title":"Breast Imaging Reporting and Data System: ACR BI-RADS breast imaging atlas","author":"D'orsi C","unstructured":"C D'orsi , E A Sickles , E B Mendelson , and E A Morris . 2013. Breast Imaging Reporting and Data System: ACR BI-RADS breast imaging atlas . American College of Radiology , Reston, Va . C D'orsi, E A Sickles, E B Mendelson, and E A Morris. 2013. Breast Imaging Reporting and Data System: ACR BI-RADS breast imaging atlas. American College of Radiology, Reston, Va."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Carl D'Orsi L Bassett S Feig etal 2018. Breast imaging reporting and data system (BI-RADS). Breast imaging atlas 4th edn. American College of Radiology Reston (2018).  Carl D'Orsi L Bassett S Feig et al. 2018. Breast imaging reporting and data system (BI-RADS). Breast imaging atlas 4th edn. American College of Radiology Reston (2018).","DOI":"10.1093\/med\/9780190270261.003.0005"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13058-017-0820-y"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1512.03385"},{"key":"e_1_3_2_1_15_1","volume-title":"Quirks of Human Anatomy","author":"Held Lewis I","unstructured":"Lewis I Held , Jr. 2009. SYMMETRY AND ASYMMETRY . In Quirks of Human Anatomy . Cambridge University Press , Cambridge , 17--32. Lewis I Held, Jr. 2009. SYMMETRY AND ASYMMETRY. In Quirks of Human Anatomy. Cambridge University Press, Cambridge, 17--32."},{"key":"e_1_3_2_1_16_1","unstructured":"Itseez. 2015. Open Source Computer Vision Library. https:\/\/github.com\/itseez\/opencv.  Itseez. 2015. Open Source Computer Vision Library. https:\/\/github.com\/itseez\/opencv."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101759"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13058-015-0626-8"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/bcr3238"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2012.03.028"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.7326\/AITC201606070"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(12)70093-1"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-015-9777-5"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2007.04.007"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Shivaji Pawar Suhas Sapate and Kamal Sharma. 2020. Machine learning approach towards mammographic breast density measurement for breast cancer risk prediction: An overview. SSRN Electron. J. (2020).  Shivaji Pawar Suhas Sapate and Kamal Sharma. 2020. Machine learning approach towards mammographic breast density measurement for breast cancer risk prediction: An overview. SSRN Electron. J. (2020).","DOI":"10.2139\/ssrn.3599187"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-39940-9_565"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995206"},{"key":"e_1_3_2_1_29_1","volume-title":"Analyzing transfer learning of vision transformers for interpreting chest radiography. J. Digit. Imaging (July","author":"Usman Mohammad","year":"2022","unstructured":"Mohammad Usman , Tehseen Zia , and Ali Tariq . 2022. Analyzing transfer learning of vision transformers for interpreting chest radiography. J. Digit. Imaging (July 2022 ). Mohammad Usman, Tehseen Zia, and Ali Tariq. 2022. Analyzing transfer learning of vision transformers for interpreting chest radiography. J. Digit. Imaging (July 2022)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007423824675"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(197605)37:5"}],"event":{"name":"BCB '23: 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","location":"Houston TX USA","acronym":"BCB '23","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584371.3612983","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3584371.3612983","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:26Z","timestamp":1750178786000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584371.3612983"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,3]]},"references-count":31,"alternative-id":["10.1145\/3584371.3612983","10.1145\/3584371"],"URL":"https:\/\/doi.org\/10.1145\/3584371.3612983","relation":{},"subject":[],"published":{"date-parts":[[2023,9,3]]},"assertion":[{"value":"2023-10-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}