Siegel, R.L., T.B. Kratzer, A.N. Giaquinto, H. Sung, A. Jemal: "Cancer statistics, 2025." Ca 75:10, 2025.

Bray, F., M. Laversanne, H. Sung, J. Ferlay, R.L. Siegel, I. Soerjomataram, A. Jemal: "Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries." CA: a cancer journal for clinicians 74:229–263, 2024.

Zhu, Y.-C., J.-G. Sheng, S.-H. Deng, Q. Jiang, J. Guo: "A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?" Gland Surgery 11:1529, 2022.

Article  PubMed  PubMed Central  Google Scholar 

Tohno, E., E. Ueno, H. Watanabe: "Ultrasound screening of breast cancer." Breast Cancer 16:18-22, 2009.

Article  PubMed  Google Scholar 

Tagliafico, A.S., M. Piana, D. Schenone, R. Lai, A.M. Massone, N. Houssami: "Overview of radiomics in breast cancer diagnosis and prognostication." The Breast 49:74-80, 2020.

Article  PubMed  Google Scholar 

Prat, A., E. Pineda, B. Adamo, P. Galván, A. Fernández, L. Gaba, M. Díez, M. Viladot, A. Arance, M. Muñoz: "Clinical implications of the intrinsic molecular subtypes of breast cancer." The Breast 24:S26-S35, 2015.

Article  PubMed  Google Scholar 

Kirova, Y., S. Carroll, A. Fourquet, B. Offersen, C. Aristei, J.-Y. Chen: "The st Gallen international expert consensus on the primary therapy of early breast cancer 2017: the point of view of an international panel of experts in radiation oncology." Annals of Oncology 29:280-281, 2018.

Article  CAS  PubMed  Google Scholar 

Prat, A., M.C.U. Cheang, M. Martín, J.S. Parker, E. Carrasco, R. Caballero, S. Tyldesley, K. Gelmon, P.S. Bernard, T.O. Nielsen: "Prognostic significance of progesterone receptor–positive tumor cells within immunohistochemically defined luminal A breast cancer." Journal of clinical oncology 31:203-209, 2013.

Article  CAS  PubMed  Google Scholar 

Trinh, A., K. Trumpi, F. De Sousa E Melo, X. Wang, J.H. De Jong, E. Fessler, P.J. Kuppen, M.S. Reimers, M. Swets, M. Koopman: "Practical and robust identification of molecular subtypes in colorectal cancer by immunohistochemistry." Clinical cancer research 23:387–398, 2017.

Janeva, S., T.Z. Parris, S. Nasic, S. De Lara, K. Larsson, R.A. Audisio, R. Olofsson Bagge, A. Kovács: "Comparison of breast cancer surrogate subtyping using a closed-system RT-qPCR breast cancer assay and immunohistochemistry on 100 core needle biopsies with matching surgical specimens." BMC Cancer 21:1–10, 2021.

Spruill, L.: Benign mimickers of malignant breast lesions. Proc. Semin Diagn Pathol, 2016.

Sasaki, J., A. Geletzke, R.B. Kass, V.S. Klimberg, E.M. Copeland Iii, K.I. Bland: Etiology and management of benign breast disease: Elsevier, 2018.

Rakha, E.A., G.M. Tse, C.M. Quinn: "An update on the pathological classification of breast cancer." Histopathology 82:5-16, 2023.

Article  PubMed  Google Scholar 

Li, X., C. Febres-Aldana, H. Zhang, X. Zhang, I. Uraizee, P. Tang: "Updates on Lobular Neoplasms and Papillary, Adenomyoepithelial, and Fibroepithelial Lesions of the Breast." Arch Pathol Lab Med 146:930-939, 2022.

Article  CAS  PubMed  Google Scholar 

Corso, G., N. Fusco, E. Guerini-Rocco, M.C. Leonardi, C. Criscitiello, P. Zagami, E. Nicolò, G. Mazzarol, C. La Vecchia, F. Pesapane: Invasive lobular breast cancer: Focus on prevention, genetics, diagnosis, and treatment. Proc. Semin Oncol, 2024.

Zheng, F.-Y., Q. Lu, B.-J. Huang, H.-S. Xia, L.-X. Yan, X. Wang, W. Yuan, W.-P. Wang: "Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer." European Journal of Radiology 86:267-275, 2017.

Article  PubMed  Google Scholar 

Rashmi, S., S. Kamala, S.S. Murthy, S. Kotha, Y.S. Rao, K.V. Chaudhary: "Predicting the molecular subtype of breast cancer based on mammography and ultrasound findings." Indian Journal of Radiology and imaging 28:354-361, 2018.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang, L., J. Li, Y. Xiao, H. Cui, G. Du, Y. Wang, Z. Li, T. Wu, X. Li, J. Tian: "Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision." Sci Rep 5:11085, 2015.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jiang, M., D. Zhang, S.-C. Tang, X.-M. Luo, Z.-R. Chuan, W.-Z. Lv, F. Jiang, X.-J. Ni, X.-W. Cui, C.F. Dietrich: "Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study." European Radiology 31:3673-3682, 2021.

Article  PubMed  Google Scholar 

Li, C., H. Huang, Y. Chen, S. Shao, J. Chen, R. Wu, Q. Zhang: "Preoperative non-invasive prediction of breast cancer molecular subtypes with a deep convolutional neural network on ultrasound images." Frontiers in Oncology 12:848790, 2022.

Article  PubMed  PubMed Central  Google Scholar 

Srikantamurthy, M.M., V.S. Rallabandi, D.B. Dudekula, S. Natarajan, J. Park: "Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning." BMC Medical Imaging 23:19, 2023.

Article  PubMed  PubMed Central  Google Scholar 

Zhang, X., H. Li, C. Wang, W. Cheng, Y. Zhu, D. Li, H. Jing, S. Li, J. Hou, J. Li: "Evaluating the accuracy of breast cancer and molecular subtype diagnosis by ultrasound image deep learning model." Frontiers in oncology 11:623506, 2021.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yin, J., J.-J. Qiu, J.-Y. Liu, Y.-Y. Li, Q.-C. Lao, X.-R. Zhong, M. Feng, H. Du, S.-L. Peng, Y.-L. Peng: "Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach." Interdisciplinary Sciences: Computational Life Sciences 15:262-272, 2023.

PubMed  Google Scholar 

Fukuda, T., H. Tsunoda, K. Yagishita, S. Naganawa, K. Hayashi, Y. Kurihara: "Deep Learning for differentiation of breast masses detected by screening ultrasound elastography." Ultrasound Med Biol 49:989-995, 2023.

Article  PubMed  Google Scholar 

Niu, S., J. Huang, J. Li, X. Liu, D. Wang, Y. Wang, H. Shen, M. Qi, Y. Xiao, M. Guan: "Differential diagnosis between small breast phyllodes tumors and fibroadenomas using artificial intelligence and ultrasound data." Quantitative Imaging in Medicine and Surgery 11:2052, 2021.

Article  PubMed  PubMed Central  Google Scholar 

Zhou, L., Z. Zhang, X. Yin, H.-B. Jiang, J. Wang, G. Gui, Y.-C. Chen, J.-X. Zheng: "Transfer learning-based DCE-MRI method for identifying differentiation between benign and malignant breast tumors." IEEE Access 8:17527-17534, 2020.

Article  Google Scholar 

Yin, H.-L., Y. Jiang, Z. Xu, H.-H. Jia, G.-W. Lin: "Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions." Journal of Cancer Research and Clinical Oncology 149:2575-2584, 2023.

Article  CAS  PubMed  Google Scholar 

Tsuchiya, M., T. Masui, K. Terauchi, T. Yamada, M. Katyayama, S. Ichikawa, Y. Noda, S. Goshima: "MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas." European Radiology 32:4090-4100, 2022.

Article  CAS  PubMed  Google Scholar 

Zewdie, E.T., A.W. Tessema, G.L. Simegn: "Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique." Health and Technology 11:1277-1290, 2021.

Article  Google Scholar 

Tummala, S., J. Kim, S. Kadry: "BreaST-Net: Multi-class classification of breast cancer from histopathological images using ensemble of swin transformers." Mathematics 10:4109, 2022.

Article  Google Scholar 

Luo, Y., Q. Huang, X. Li: "Segmentation information with attention integration for classification of breast tumor in ultrasound image." Pattern Recognition 124:108427, 2022.

Article  Google Scholar 

Qu, X., H. Lu, W. Tang, S. Wang, D. Zheng, Y. Hou, J. Jiang: "A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images." Med Phys 49:5787-5798, 2022.

Article  CAS  PubMed  Google Scholar 

Ding, W., H. Zhang, S. Zhuang, Z. Zhuang, Z. Gao: "Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound." Expert Systems with Applications 234:120969, 2023.

Article  Google Scholar 

Cho, Y., S. Misra, R. Managuli, R.G. Barr, J. Lee, C. Kim: "Attention-based Fusion Network for Breast Cancer Segmentation and Classification Using Multi-modal Ultrasound Images." Ultrasound Med Biol 51:568-577, 2025.

Article  PubMed  Google Scholar 

Fan, Z., P. Gong, S. Tang, C.U. Lee, X. Zhang, P. Song, S. Chen, H. Li: "Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework." Medical image analysis 90:102960, 2023.

Article  PubMed  PubMed Central  Google Scholar 

Meng, H., X. Liu, J. Niu, Y. Wang, J. Liao, Q. Li, C. Chen: "DGANet: a dual global attention neural network for breast lesion detection in ultrasound images." Ultrasound Med Biol 49:31-44, 2023.

Article  PubMed  Google Scholar 

Luo, Y., Z. Lu, L. Liu, Q. Huang: "Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis." Biomedical Signal Processing and Control 84:104784, 2023.

Article  Google Scholar 

He, Q., Q. Yang, H. Su, Y. Wang: "Multi-task learning for segmentation and classification of breast tumors from ultrasound images." Computers in Biology and Medicine 173:108319, 2024.

Article  PubMed  Google Scholar