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This study aims to develop an annotation\u2010aware, real\u2010time data augmentation framework that preserves spatial and clinical integrity during geometric transformations to improve model robustness and performance. A real\u2010time augmentation framework dynamically recalculates bounding box coordinates and segmentation masks during cropping and rotation. Instance\u2010level annotation correction is performed on\u2010the\u2010fly within the training pipeline, without offline preprocessing, additional storage, or generative modelling and is evaluated on the DDSM, INbreast and BUSI datasets. Experimental results show consistent performance gains across all datasets and models, with detection metrics improving by an average of 4.2\u20134.4% and segmentation accuracy increasing by up to 9.3%. The real\u2010time implementation achieves low preprocessing latency (\u22480.12 s per batch, 3.75 ms per image), enabling high\u2010throughput training without added computational overhead. By preserving annotation integrity during geometric transformations, the proposed framework provides a computationally efficient and easily integrable solution for breast cancer imaging, with broader applicability to other medical image analysis tasks requiring precise spatial annotations.<\/jats:p>","DOI":"10.1049\/ipr2.70308","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T14:02:26Z","timestamp":1770904946000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Realtime Data Augmentation for Breast Cancer Dataset: Dynamic Fine\u2010Tuning Bounding Box Coordinates and Segmentation Mask"],"prefix":"10.1049","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7756-4380","authenticated-orcid":false,"given":"Hassan","family":"Mahichi","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering Se.C., Islamic Azad University  Semnan Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1140-0117","authenticated-orcid":false,"given":"Vahid","family":"Ghods","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Se.C., Islamic Azad University  Semnan Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8066-0356","authenticated-orcid":false,"given":"Mohammad Karim","family":"Sohrabi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Se.C., Islamic Azad University  Semnan Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arash","family":"Sabbaghi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Se.C., Islamic Azad University  Semnan Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2026,2,12]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2022.08.010"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521\u2010022\u201006960\u20109"},{"key":"e_1_2_12_4_1","doi-asserted-by":"crossref","unstructured":"Z.Guo X.Li H.Huang N.Quo andQ.Li \u201cMedical Image Segmentation Based on Multi\u2010Modal Convolutional Neural Network: Study on Image Fusion Schemes \u201d inProceedings\u2014International Symposium on Biomedical Imaging(IEEE 2018) 903\u2013907 https:\/\/doi.org\/10.1109\/ISBI.2018.8363717.","DOI":"10.1109\/ISBI.2018.8363717"},{"key":"e_1_2_12_5_1","doi-asserted-by":"crossref","unstructured":"J.Redmon S.Divvala R.Girshick andA.Farhadi \u201cYou Only Look Once: Unified Real\u2010Time Object Detection \u201d inProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition(IEEE 2016) 53\u201357 https:\/\/doi.org\/10.1109\/CVPR.2016.91.","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537\u2010019\u20100197\u20100"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537\u2010019\u20100197\u20100"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging8050141"},{"key":"e_1_2_12_9_1","doi-asserted-by":"crossref","unstructured":"A.Alblwi N.Mehmood J.Labombard andK. 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