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Decoding the Molecular Subtypes of Breast Cancer Seen on Multimodal Ultrasound Images Using an Assembled Convolutional Neural Network Model: A Prospective and Multicenter Study
30/30 checkable references clean · checked 2026-08-27
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 30 checked references that resolve
resolves10.1200/JCO.19.00945
Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: ASCO Clinical Practice Guideline Update—Integration of Results From TAILORx
resolves10.1200/JCO.19.00948
Role of Patient and Disease Factors in Adjuvant Systemic Therapy Decision Making for Early-Stage, Operable Breast Cancer: Update of the ASCO Endorsement of the Cancer Care Ontario Guideline
resolves10.1016/j.breast.2016.11.009
A sensitivity and specificity comparison of fine needle aspiration cytology and core needle biopsy in evaluation of suspicious breast lesions: A systematic review and meta-analysis
resolves10.1007/978-3-540-31611-4_8
Pathology of Breast Tissue Obtained in Minimally Invasive Biopsy Procedures
resolves10.1016/j.clbc.2018.02.013
Invasive Breast Carcinoma Tumor Size on Core Needle Biopsy: Analysis of Practice Patterns and Effect on Final Pathologic Tumor Stage
resolves10.1093/ajcp/aqv018
Reflex Repeat HER2 Testing of Grade 3 Breast Carcinoma at Excision Using Immunohistochemistry and In Situ Analysis
resolves10.1007/s12253-017-0187-5
Comparison of Core Needle Biopsy and Excision Specimens for the Accurate Evaluation of Breast Cancer Molecular Markers: a Report of 1003 Cases
resolves10.1148/radiol.2019182071
Optoacoustic Imaging and Gray-Scale US Features of Breast Cancers: Correlation with Molecular Subtypes
resolves10.1016/j.ejrad.2016.11.032
Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer
resolves10.1016/j.clinimag.2018.10.020
Identification of a correlation between the sonographic appearance and molecular subtype of invasive breast cancer: A review of 311 cases
resolves10.1016/j.ultrasmedbio.2019.06.421
Conventional US and 2-D Shear Wave Elastography of Virtual Touch Tissue Imaging Quantification: Correlation with Immunohistochemical Subtypes of Breast Cancer
resolves10.1148/radiol.2019181816
Performance and Reading Time of Automated Breast US with or without Computer-aided Detection
resolves10.1109/JBHI.2019.2960821
Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model
resolves10.1007/s00330-019-06118-7
Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making
resolves10.1148/radiol.2019190372
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning
resolves10.1016/j.ultrasmedbio.2015.03.008
WFUMB Guidelines and Recommendations for Clinical Use of Ultrasound Elastography: Part 2: Breast
resolves10.1093/annonc/mdt303
Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013
resolves10.1016/j.acra.2006.06.015
Correlation of HER-2/neu Overexpression With Mammography and Age Distribution in Primary Breast Carcinomas
resolves10.1080/02841860801971413
Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast cancer
resolves10.1007/s00330-009-1656-3
Triple-negative breast cancer: correlation between imaging and pathological findings
resolves10.1007/s00330-020-07544-8
Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study
resolves10.1089/thy.2020.0305
A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate
resolves10.1148/radiol.14130818
Breast Lesions: Evaluation with Shear Wave Elastography, with Special Emphasis on the “Stiff Rim” Sign
resolves10.1002/jum.15499
<scp>Shear‐Wave Elastography‐Guided</scp> Core Needle Biopsy for the Determination of Breast Cancer Molecular Subtype
resolves10.3389/frai.2020.00049
An Interactive Visualization for Feature Localization in Deep Neural Networks
resolves10.1007/s10549-018-4796-9
The relationship between tumour size, nodal status and distant metastases: on the origins of breast cancer
The 8 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedClinical Cancer Advances
no DOI — not checkedIdentifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision
no DOI — not checkedDeepCC: a novel deep learning-based framework for cancer molecular subtype classification
no DOI — not checkedDeep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification
no DOI — not checkedTumor stiffness measured by quantitative and qualitative shear wave elastography of breast cancer
no DOI — not checkedPrice WN. Big data and black-box medical algorithms
no DOI — not checkedCollege of American Pathologists Clinical Practice Guideline Focused Update
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