{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T08:51:21Z","timestamp":1773391881923,"version":"3.50.1"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"3\u20134","license":[{"start":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:00:00Z","timestamp":1773360000000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Rapid adoption of artificial intelligence methods in breast imaging research emphasizes the need for large, appropriately curated image databases for development and validation. For digital breast tomosynthesis (DBT), there are few public databases with only limited lesion annotation. Recently, we have developed Malm\u00f6 Breast ImaginG (M-BIG), a large database of 104\u00a0791 women screened at Sk\u00e5ne University Hospital, Malm\u00f6. M-BIG also includes all images from the Malm\u00f6 Breast Tomosynthesis Screening Trial, MBTST of 14\u00a0848 women, with 139 biopsy-confirmed cancers from DBT screening. To annotate lesions in M-BIG, we designed a semi-automated custom software tool for DBT, and corresponding digital mammography (DM) images. A reader manually draws an outline; or marks nodes around the lesion which are automatically connected by an edge-following algorithm. Our custom tool enables detailed annotation of DBT and DM lesions, as opposed to the rectangular regions present in other published material, allowing extensive evaluation of tumor segmentation, and analysis of size and shape descriptors.<\/jats:p>","DOI":"10.1093\/rpd\/ncaf177","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T13:08:10Z","timestamp":1765458490000},"page":"326-330","source":"Crossref","is-referenced-by-count":0,"title":["Annotation and characterization of lesions in breast tomosynthesis images"],"prefix":"10.1093","volume":"202","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5699-9664","authenticated-orcid":false,"given":"Magnus","family":"Dustler","sequence":"first","affiliation":[{"name":"Translational Medicine, Diagnostic Radiology, Lund University , 205 02 Malm\u00f6,","place":["Sweden"]},{"name":"Translational Medicine, Medical Radiation Physics, Lund University ,","place":["205 02 Malm\u00f6, Sweden"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akane","family":"Ohashi","sequence":"additional","affiliation":[{"name":"Translational Medicine, Diagnostic Radiology, Lund University , 205 02 Malm\u00f6,","place":["Sweden"]},{"name":"Department of Imaging and Physiology, Sk\u00e5ne University Hospital ,","place":["205 02 Malm\u00f6, Sweden"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2914-883X","authenticated-orcid":false,"given":"Hanna","family":"Tomic","sequence":"additional","affiliation":[{"name":"Translational Medicine, Diagnostic Radiology, Lund University , 205 02 Malm\u00f6,","place":["Sweden"]},{"name":"Translational Medicine, Medical Radiation Physics, Lund University ,","place":["205 02 Malm\u00f6, Sweden"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristin","family":"Johnson","sequence":"additional","affiliation":[{"name":"Translational Medicine, Diagnostic Radiology, Lund University , 205 02 Malm\u00f6,","place":["Sweden"]},{"name":"Department of Imaging and Physiology, Sk\u00e5ne University Hospital ,","place":["205 02 Malm\u00f6, Sweden"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5678-3882","authenticated-orcid":false,"given":"Sophia","family":"Zackrisson","sequence":"additional","affiliation":[{"name":"Translational Medicine, Diagnostic Radiology, Lund University , 205 02 Malm\u00f6,","place":["Sweden"]},{"name":"Department of Imaging and Physiology, Sk\u00e5ne University Hospital ,","place":["205 02 Malm\u00f6, Sweden"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3078-0725","authenticated-orcid":false,"given":"Anders","family":"Tingberg","sequence":"additional","affiliation":[{"name":"Translational Medicine, Medical Radiation Physics, Lund University ,","place":["205 02 Malm\u00f6, Sweden"]},{"name":"Department of Hematology, Oncology and 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Online Appendix for \u201cData Mining: Practical Machine Learning Tools and Techniques\u201d","author":"Frank","year":"2016"}],"container-title":["Radiation Protection Dosimetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/rpd\/article-pdf\/202\/3%E2%80%934\/326\/67333201\/ncaf177.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/rpd\/article-pdf\/202\/3%E2%80%934\/326\/67333201\/ncaf177.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T06:44:30Z","timestamp":1773384270000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/rpd\/article\/202\/3%E2%80%934\/326\/8518623"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":9,"journal-issue":{"issue":"3\u20134","published-online":{"date-parts":[[2026,3,13]]},"published-print":{"date-parts":[[2026,3,13]]}},"URL":"https:\/\/doi.org\/10.1093\/rpd\/ncaf177","relation":{},"ISSN":["0144-8420","1742-3406"],"issn-type":[{"value":"0144-8420","type":"print"},{"value":"1742-3406","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026,3]]},"published":{"date-parts":[[2026,3]]}}}