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References from A dual-tower multimodal framework with feature quality enhancement for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer: a multicenter study. Local targets link to admitted publications; unresolved targets remain external evidence.
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2024 · External reference
De-escalating and escalating treatments for early-stage breast cancer: the St. Gallen international expert consensus conference on the primary therapy of early breast cancer 2017
10.1093/annonc/mdx308 · 2017 · External reference
Revisiting the definition of estrogen receptor positivity in HER2-negative primary breast cancer
10.1093/annonc/mdx397 · 2017 · External reference
Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis
10.1016/s0140-6736(13)62422-8 · 2014 · External reference
Pathologic complete response and individual patient prognosis after neoadjuvant chemotherapy plus anti-human epidermal growth factor receptor 2 therapy of human epidermal growth factor receptor 2-positive early breast cancer
10.1200/jco.22.02241 · 2023 · External reference
Association of event-free and distant recurrence-free survival with individual-level pathologic complete response in neoadjuvant treatment of stages 2 and 3 breast cancer: three-yea r follow-up analysis for the i-spy2 adaptively randomized clinical trial
10.1001/jamaoncol.2020.2535 · 2020 · External reference
The surgical management of patients who achieve a complete pathological response after primary chemotherapy for locally advanced breast cancer
10.1016/j.ejso.2006.12.006 · 2007 · External reference
Prospective evaluation of ultrafast breast MRI for predicting pathologic response after neoadjuvant therapies
10.1148/radiol.220389 · 2022 · External reference
Prediction of treatment response to neoadjuvant chemotherapy for breast cancer via early changes in tumor heterogeneity captured by DCE-MRI registration
10.1038/s41598-019-48465-x · 2019 · External reference
Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy
10.1093/jnci/djs528 · 2013 · External reference
Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
10.1038/s41598-021-98408-8 · 2021 · External reference
Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study
2023 · External reference
MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data
10.1093/bib/bbaf209 · 2025 · External reference
10.1016/j.csbj.2021.12.028 · 2022 · Admitted local publication
An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer
10.1038/s41467-024-53450-8 · 2024 · External reference
Interpretable machine learning for predicting neoadjuvant chemotherapy response in breast cancer using the baseline clinical and pathological characteristics
10.1002/cam4.71221 · 2025 · External reference
Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer
10.1080/07853890.2025.2541316 · 2025 · External reference
Deep learning-based fusion of nuclear segmentation features for microsatellite instability and tumor mutational burden prediction in digestive tract cancers: a multicenter validation study
10.1093/bib/bbaf580 · 2025 · External reference
A Dynamic Contrast-Enhanced MRI-Based Vision Transformer Model for Distinguishing HER2-Zero, -Low, and -Positive Expression in Breast Cancer and Exploring Model Interpretability
2025 · External reference
Multi-omic machine learning predictor of breast cancer therapy response
10.1038/s41586-021-04278-5 · 2022 · External reference
The neo-bioscore update for staging breast cancer treated with neoadjuvant chemotherapy: incorporation of prognostic biologic factors into staging after treatment
10.1001/jamaoncol.2015.6478 · 2016 · External reference
Ki67 measured after neoadjuvant chemotherapy for primary breast cancer
10.1158/1078-0432.ccr-12-3628 · 2013 · External reference
Impact of estrogen receptor expression level on response to neoadjuvant chemotherapy and prognosis in HER2-negative breast cancers
10.1186/s12885-023-11368-2 · 2023 · External reference
10.1200/jco.22.02363
10.1200/jco.22.02363 · 2023 · External reference
The clinical significance of breast-only and node-only pathologic complete response (pcr) after neoadjuvant chemotherapy (nact): a review of 20,000 breast cancer patients in the national cancer data base (NCDB)
10.1097/sla.0000000000002953 · 2018 · External reference
Estrogen and progesterone receptor testing in breast cancer: asco/cap guideline update
10.1200/jco.19.02309 · 2020 · External reference
Computational Radiomics System to Decode the Radiographic Phenotype
10.1158/0008-5472.can-17-0339 · 2017 · External reference
