Research graph
References from Tri-fusion deep learning model for early breast cancer screening using multimodal biomedical data. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning (ML) algorithms for diagnosing blood Cancer in blood smear images
10.56427/jcbd.v4i2.756 · 2025 · External reference
Artificial intelligence in digital pathology—time for a reality check
10.1038/s41571-025-00991-6 · 2025 · External reference
AI-driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication
10.1007/s00261-024-04775-x · 2025 · External reference
Adaptive deep Q-GAN framework for enhanced breast cancer detection in medical imaging
10.1016/j.bspc.2025.108638 · 2026 · External reference
Unresolved reference
2026 · External reference
Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
10.1038/s41467-025-57469-3 · 2025 · External reference
Theoretical advancements in deep learning for hematological cancer diagnosis: proposing a new framework and mathematical model
10.1177/18724981241306503 · 2025 · External reference
Fusion-driven multimodal learning for biomedical time series in surgical care
10.3389/fphys.2025.1605406 · 2025 · External reference
A deep learning-based multimodal medical imaging model for breast cancer screening
10.1038/s41598-025-99535-2 · 2025 · External reference
Unresolved reference
2024 · External reference
An overview of optimization techniques for pre-processing of RNA-seq data
2025 · External reference
Multimodal deep learning and data fusion in precision breast oncology: clinical applications, fusion strategies, and future directions
10.61882/ist.202502.10.06 · 2025 · External reference
Lightweight deep learning model with spatial attention for accurate and efficient breast cancer prediction
10.1038/s41598-025-34311-w · 2026 · External reference
Unresolved reference
2018 · External reference
A comprehensive review of machine learning and deep learning techniques for intraclass variability breast cancer recognition
10.1016/j.fraope.2025.100296 · 2025 · External reference
Screening in patients with dense breasts: comparison of mammography, artificial intelligence, and supplementary ultrasound
10.2214/ajr.23.29655 · 2024 · External reference
DBMAF: dual-branch multimodal attention-based feature fusion network for fusing histopathology and radiology images
10.1016/j.bspc.2026.109739 · 2026 · External reference
Bidirectional f-divergence-based deep generative method for imputing missing values in time-series data
2025 · External reference
Deep learning in breast cancer imaging: a decade of progress and future directions
2024 · External reference
Strengths and challenges of the artificial intelligence in the assessment of dense breasts
2022 · External reference
Deep learning techniques for analyzing peripheral blood smears: a meta-analysis
10.1007/s00521-025-11401-4 · 2025 · External reference
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
10.1007/s10462-024-10984-z · 2024 · External reference
Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
10.1007/s11042-024-19694-8 · 2025 · External reference
Early breast cancer prediction using optimized machine learning and tumor-immune modeling
10.1016/j.cam.2025.116875 · 2026 · External reference
Multimodal models in healthcare: methods, challenges, and future directions for enhanced clinical decision support
10.3390/info16110971 · 2025 · External reference
MammXAI: An XAI integrated adaptive multi-model deep learning approach for breast cancer detection using multi-modality images
10.1016/j.bspc.2025.109173 · 2026 · External reference
Multimodal data fusion for cancer biomarker discovery with deep learning
10.1038/s42256-023-00633-5 · 2023 · External reference
Explainable artificial intelligence for medical applications: a review
2025 · External reference
Unresolved reference
External reference
Artificial intelligence in breast cancer detection: advances across imaging modalities and clinical integration
10.33545/26649322.2026.v8.i1a.18 · 2026 · External reference
Strategies to improve the robustness and generalizability of deep learning segmentation and classification in neuroimaging
10.3390/biomedinformatics5020020 · 2025 · External reference
Profiling cell-state fingerprints based on deep learning model with Meta-programs of Pan-cancer
10.1093/gpbjnl/qzaf123 · 2025 · External reference
Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma
10.1007/s12672-025-02393-7 · 2025 · External reference
Artificial intelligence in oncology: advances in Cancer diagnosis, genomic profiling, and treatment planning
10.64229/6xvf1387 · 2026 · External reference
Multimodal deep learning models for breast cancer screening and diagnosis: a comprehensive evaluation
10.1038/srep10234 · 2025 · External reference
Self-supervised multimodal learning: a survey
10.1109/tpami.2024.3429301 · 2024 · External reference
