{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T05:10:23Z","timestamp":1774933823053,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100023674","name":"Deanship of Scientific Research, King Khalid University","doi-asserted-by":"publisher","award":["RGP2\/390\/45"],"award-info":[{"award-number":["RGP2\/390\/45"]}],"id":[{"id":"10.13039\/501100023674","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Netw Model Anal Health Inform Bioinforma"],"DOI":"10.1007\/s13721-026-00735-1","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:36:18Z","timestamp":1774928178000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Dual-Stage deep learning model for improved breast cancer detection and prognosis"],"prefix":"10.1007","volume":"15","author":[{"given":"Farag H.","family":"Alhsnony","sequence":"first","affiliation":[]},{"given":"Lamia","family":"Sellami","sequence":"additional","affiliation":[]},{"given":"Ahmed AlMokhtar Ben","family":"Hmida","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"735_CR8","first-page":"129","volume-title":"2026 IEEE 7th Int. Conf. Adv. Technol. Signal image process","author":"FH Alhsnony","year":"2026","unstructured":"Alhsnony FH, Sellami L (2026) Enhancing breast cancer detection through advanced deep learning: an application of YOLOv8x on mammographic images. 2026 IEEE 7th Int. Conf. Adv. Technol. Signal image process. ATSIP, IEEE, pp 129\u2013134"},{"key":"735_CR7","first-page":"665","volume":"3","author":"FH Alhsnony","year":"2026","unstructured":"Alhsnony FH, Sellami L (2026) Enhancing Breast Cancer Diagnosis: Automated Segmentation and Detection with YOLOv8. ICAART 3:665\u2013672","journal-title":"ICAART"},{"key":"735_CR31","unstructured":"Aziz F, Saputri DUE (2026) Efficient skin lesion detection using YOLOv9 network. J Med Inf Technol 11\u201315"},{"key":"735_CR1","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1016\/S0140-6736(09)60316-0","volume":"373","author":"JR Benson","year":"2009","unstructured":"Benson JR, Jatoi I, Keisch M, Esteva FJ, Makris A, Jordan VC (2009) Early breast cancer. Lancet 373:1463\u20131479","journal-title":"Lancet"},{"key":"735_CR36","unstructured":"Bipin PR, Mathews B (2025) Breast Cancer Image Classification Using Deep Learning Methods, in: 2025 3rd Int. Conf. Adv. Comput. Commun. Embed. Secure Syst. ACCESS, IEEE: 346\u2013349"},{"key":"735_CR30","first-page":"e13348","volume":"60","author":"C Chien","year":"2026","unstructured":"Chien C, Ju R, Chou K, Chiang J (2026) YOLOv9 for fracture detection in pediatric wrist trauma X-ray images. Electron Lett 60:e13348","journal-title":"Electron Lett"},{"key":"735_CR27","doi-asserted-by":"crossref","unstructured":"Daoudi R, Djemal K, Benyettou A (2014) Digital database for screening mammography classification using improved artificial immune system approaches. Int Conf Evol Comput Theory Appl SCITEPRESS 2214:264\u2013270","DOI":"10.5220\/0005079602440250"},{"key":"735_CR37","unstructured":"Deepa R, Gnanadesigan R, Ranjith D, Nithishkumar K, Dinesh A, Moorthy C (2023) Performance Analysis of the Classification of Breast Cancer, in: 2023 Third Int. Conf. Inven Res Comput Appl ICIRCA IEEE:1\u20136"},{"key":"735_CR2","doi-asserted-by":"publisher","first-page":"438","DOI":"10.3322\/caac.21583","volume":"69","author":"CE DeSantis","year":"2021","unstructured":"DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL (2021) Breast cancer statistics, 2021, CA. Cancer J Clin 69:438\u2013451","journal-title":"Cancer J Clin"},{"key":"735_CR29","unstructured":"Dhivya S, Mohanavalli S, Karthika S, Shivani S, Mageswari R (2022) GAN based data augmentation for enhanced tumor classification, in: 2022 4th Int. Conf. Comput. Commun. Signal Process. ICCCSP, IEEE: 1\u20135"},{"issue":"2","key":"735_CR19","doi-asserted-by":"publisher","first-page":"381","DOI":"10.5755\/j01.itc.52.2.33208","volume":"52","author":"M Diwakaran","year":"2023","unstructured":"Diwakaran M, Surendran D (2023) Breast cancer prognosis based on transfer learning techniques in deep neural networks. Inform Technol Control 52(2):381\u2013396","journal-title":"Inform Technol Control"},{"key":"735_CR13","first-page":"1","volume":"31","author":"RG do Nascimento","year":"2022","unstructured":"do Nascimento RG, Otoni KM (2022) Histological and molecular classification of breast cancer: what do we know? Mastology 31:1\u20138","journal-title":"Mastology"},{"key":"735_CR32","unstructured":"Elnady N, Adel A, Badawy W (2026) Harnessing YOLOv9 for Enhanced Detection of Lung Cancer: A Deep Learning Approach, in: 2026 Intell. Methods Syst. Appl. IMSA, IEEE: 520\u2013525"},{"key":"735_CR3","first-page":"526","volume":"72","author":"AN Giaquinto","year":"2024","unstructured":"Giaquinto AN, Sung H, Miller KD, Kramer JL, Newman LA, Minihan A, Jemal A, Siegel RL (2024) Breast Cancer Stat 2024 CA Cancer J Clin 72:526\u2013541","journal-title":"Breast Cancer Stat 2024 CA Cancer J Clin"},{"key":"735_CR38","first-page":"728","volume":"29","author":"Y Hou","year":"2022","unstructured":"Hou Y (2022) Breast cancer pathological image classification based on deep learning. J X-Ray Sci Technol 29:728\u2013738","journal-title":"J X-Ray Sci Technol"},{"issue":"4","key":"735_CR18","doi-asserted-by":"publisher","first-page":"915","DOI":"10.5755\/j01.itc.52.4.34232","volume":"52","author":"B Krishnakumar","year":"2023","unstructured":"Krishnakumar B, Kousalya K (2023) Optimal trained deep learning model for breast cancer segmentation and classification. Inform Technol Control 52(4):915\u2013934","journal-title":"Inform Technol Control"},{"key":"735_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2017.177","volume":"4","author":"RS Lee","year":"2017","unstructured":"Lee RS, Gimenez F, Hoogi A, Miyake KK, Gorovoy M, Rubin DL (2017) A curated mammography data set for use in computer-aided detection and diagnosis research. Sci Data 4:1\u20139","journal-title":"Sci Data"},{"key":"735_CR17","first-page":"5027","volume":"28","author":"M Liu","year":"2024","unstructured":"Liu M, Hu L, Tang Y, Wang C, He Y, Zeng C, Lin K, He Z, Huo W (2024) A deep learning method for breast cancer classification in the pathology images. IEEE J Biomed Health Inf 28:5027\u20135033","journal-title":"IEEE J Biomed Health Inf"},{"key":"735_CR35","doi-asserted-by":"publisher","first-page":"106721","DOI":"10.1016\/j.bspc.2024.106721","volume":"97","author":"T Mahmood","year":"2024","unstructured":"Mahmood T, Rehman A, Saba T, Wang Y, Alamri FS (2024) Alzheimer\u2019s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis. Biomed Signal Process Control 97:106721","journal-title":"Biomed Signal Process Control"},{"key":"735_CR34","doi-asserted-by":"publisher","first-page":"123747","DOI":"10.1016\/j.eswa.2024.123747","volume":"249","author":"T Mahmood","year":"2024","unstructured":"Mahmood T, Saba T, Rehman A, Alamri FS (2024) Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography. Expert Syst Appl 249:123747","journal-title":"Expert Syst Appl"},{"key":"735_CR24","first-page":"2880","volume":"14","author":"AD Mohammed","year":"2026","unstructured":"Mohammed AD, Ekmekci D (2026) Breast cancer diagnosis using YOLO-Based multiscale parallel CNN and flattened threshold swish. Appl Sci 14:2880","journal-title":"Appl Sci"},{"key":"735_CR25","first-page":"29","volume":"9","author":"M Mu\u0161tra","year":"2022","unstructured":"Mu\u0161tra M, \u0160tajduhar A (2022) Segmentation masks for the mini-mammographic image analysis society (mini-MIAS) database. IEEE Consum Electron Mag 9:29\u201334","journal-title":"IEEE Consum Electron Mag"},{"key":"735_CR4","first-page":"102486","volume":"128","author":"AB Nassif","year":"2024","unstructured":"Nassif AB, Talib MA, Nasir Q, Afadar Y, Elgendy O (2024) Breast cancer detection using artificial intelligence techniques: A systematic literature review. Artif Intell Med 128:102486","journal-title":"Artif Intell Med"},{"key":"735_CR11","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1111\/his.14786","volume":"82","author":"EA Rakha","year":"2025","unstructured":"Rakha EA, Tse GM, Quinn CM (2025) An update on the pathological classification of breast cancer. Histopathology 82:5\u201316","journal-title":"Histopathology"},{"key":"735_CR33","doi-asserted-by":"publisher","first-page":"112518","DOI":"10.1016\/j.asoc.2024.112518","volume":"170","author":"A Rehman","year":"2025","unstructured":"Rehman A, Mahmood T, Saba T (2025) Robust kidney carcinoma prognosis and characterization using Swin-ViT and DeepLabV3\u2009+\u2009with multi-model transfer learning. Appl Soft Comput 170:112518","journal-title":"Appl Soft Comput"},{"key":"735_CR6","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1148\/radiol.2021210479","volume":"300","author":"A Rodr\u00edguez-Ruiz","year":"2021","unstructured":"Rodr\u00edguez-Ruiz A, Krupinski E, Mordang J-J, Schilling K, Heywang-K\u00f6brunner SH, Sechopoulos I, Mann RM (2021) Detection of breast cancer with mammography: effect of an artificial intelligence support system. Radiology 300:315\u2013326","journal-title":"Radiology"},{"key":"735_CR5","doi-asserted-by":"crossref","unstructured":"Sadoughi F, Kazemy Z, Hamedan F, Owji L, Rahmanikatigari M, Talebi T, Azadboni (2020) Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review, breast cancer targets ther. 10:239\u2013251","DOI":"10.2147\/BCTT.S175311"},{"key":"735_CR28","doi-asserted-by":"publisher","first-page":"106759","DOI":"10.1016\/j.asoc.2020.106759","volume":"97","author":"M Saini","year":"2022","unstructured":"Saini M, Susan S (2022) Deep transfer with minority data augmentation for imbalanced breast cancer dataset. Appl Soft Comput 97:106759","journal-title":"Appl Soft Comput"},{"key":"735_CR39","first-page":"134","volume":"3","author":"V Sharma","year":"2022","unstructured":"Sharma V, Mohapatra SK, Mohanty MN (2022) Breast cancer data classification using deep neural network. Int J Intell Syst Des Comput 3:134","journal-title":"Int J Intell Syst Des Comput"},{"key":"735_CR20","first-page":"69235","volume":"7","author":"HH Sultan","year":"2021","unstructured":"Sultan HH, Salem NM, Al-Atabany W (2021) Multi-classification of brain tumor images using deep neural network. IEEE Access 7:69235\u201369247","journal-title":"IEEE Access"},{"key":"735_CR10","doi-asserted-by":"crossref","unstructured":"Tan PH, Ellis I, Allison K, Brogi E, Fox SB, Lakhani S, Lazar AJ, Morris EA, Sahin A, Salgado R (2022) The 2021 WHO classification of tumours of the breast. Histopathology 77","DOI":"10.1111\/his.14091"},{"key":"735_CR9","first-page":"28","volume":"28","author":"JY Tsang","year":"2020","unstructured":"Tsang JY, Gary MT (2020) Molecular classification of breast cancer. Adv Anat Pathol 28:28\u201335","journal-title":"Adv Anat Pathol"}],"container-title":["Network Modeling Analysis in Health Informatics and Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13721-026-00735-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13721-026-00735-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13721-026-00735-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:36:41Z","timestamp":1774928201000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13721-026-00735-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,31]]},"references-count":32,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["735"],"URL":"https:\/\/doi.org\/10.1007\/s13721-026-00735-1","relation":{},"ISSN":["2192-6670"],"issn-type":[{"value":"2192-6670","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,31]]},"assertion":[{"value":"18 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"109"}}