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References from Microscopic hyperspectral discrimination of triple-negative and HER2-positive breast cancer in routine hematoxylin–eosin sections. Local targets link to admitted publications; unresolved targets remain external evidence.
Human epidermal growth factor receptor 2 testing in breast cancer: ASCO-College of American Pathologists guideline update
10.1200/jco.22.02864 · 2023 · External reference
Update on triple-negative breast cancers—highlighting subtyping update and treatment implication
10.1111/his.14784 · 2023 · External reference
Advances in systemic therapies for triple negative breast cancer
10.1136/bmj-2022-071674 · 2023 · External reference
Molecular characterization and classification of HER2-positive breast cancer inform tailored therapeutic strategies
10.1158/0008-5472.can-23-4066 · 2024 · External reference
Pathological precision diagnosis and recent advances in HER2 low and ultralow in breast cancer: a narrative review
10.21037/tbcr-24-33 · 2024 · External reference
Artificial intelligence in breast cancer histopathology
10.1111/his.14820 · 2023 · External reference
Artificial intelligence applied to breast pathology
10.1007/s00428-021-03213-3 · 2022 · External reference
Determining breast cancer biomarker status and associated morphological features using deep learning
10.1038/s43856-021-00013-3 · 2021 · External reference
Data-efficient computational pathology platform for faster and cheaper breast cancer subtype identifications: development of a deep learning model
10.2196/45547 · 2023 · External reference
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
10.1016/j.jpi.2024.100410 · 2025 · External reference
Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: a systematic review and meta-analysis
10.1016/j.prp.2024.155472 · 2024 · External reference
Artificial intelligence in breast cancer diagnosis and personalized medicine
10.4048/jbc.2023.26.e45 · 2023 · External reference
Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications
10.1117/1.jbo.31.3.030901 · 2026 · External reference
Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: a comprehensive review
10.1063/5.0240444 · 2024 · External reference
A review of the medical hyperspectral imaging systems and unmixing algorithms in biological tissues
10.1016/j.pdpdt.2020.102165 · 2021 · External reference
A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection
10.1016/j.pdpdt.2024.104048 · 2024 · External reference
Hyperspectral imaging for benign and malignant diagnosis of breast tumors
10.1002/jbio.202500188 · 2025 · External reference
Visible-short wavelength near infrared hyperspectral imaging coupled with multivariate curve resolution-alternating least squares for diagnosis of breast cancer
10.1016/j.saa.2024.124966 · 2025 · External reference
Tissue classification of breast cancer by hyperspectral unmixing
10.3390/cancers15102679 · 2023 · External reference
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
10.1117/1.jbo.27.4.046501 · 2022 · External reference
Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning
2022 · External reference
Hyperspectral imaging for tissue classification after advanced stage ovarian cancer surgery—a pilot study
10.3390/cancers14061422 · 2022 · External reference
Study on an automatic classification method for determining the malignancy grade of glioma pathological sections based on hyperspectral multi-scale spatial-spectral fusion features
10.3390/s24123803 · 2024 · External reference
Deep learning for rapid virtual H&E staining of label-free glioma tissue from hyperspectral images
10.1016/j.compbiomed.2024.108958 · 2024 · External reference
Transportable hyperspectral imaging setup based on fast, high-density spectral scanning for in situ quantitative biochemical mapping of fresh tissue biopsies
10.1117/1.jbo.29.9.093508 · 2024 · External reference
Using computational learning for non-melanoma skin cancer and actinic keratosis near-infrared hyperspectral signature classification
10.1016/j.pdpdt.2024.104269 · 2024 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 update
10.1148/ryai.240300 · 2024 · External reference
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
10.1038/s41591-025-03953-8 · 2025 · External reference
Understanding the spectrum of HER2 status in breast cancer: from HER2-positive to ultra-low HER2
10.1016/j.prp.2024.155550 · 2024 · External reference