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Public Health Genomics and Precision Health Knowledge Base (v8.4)
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Development of a nomogram for predicting pathological complete response in luminal breast cancer patients following neoadjuvant chemotherapy.
Giovanna Garufi et al. Therapeutic advances in medical oncology 2023 1517588359221138657
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The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer.
Looket Dihge et al. Frontiers in oncology 2023 131102254
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Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Shaoxu Wu et al. The Lancet. Oncology 2023
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Applications of different machine learning approaches in prediction of breast cancer diagnosis delay.
Samira Dehdar et al. Frontiers in oncology 2023 131103369
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A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation.
Nasim Sirjani et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 107102560
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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection.
M Luke Marinovich et al. EBioMedicine 2023 90104498
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Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer.
Jiamin Guo et al. British journal of cancer 2023
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Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.
Basem S Abunasser et al. Asian Pacific journal of cancer prevention : APJCP 2023 24(2) 531-544
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Multicenter automatic detection of invasive carcinoma on breast whole slide images.
Rémy Peyret et al. PLOS digital health 2023 2(2) e0000091
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Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.
Raffaella Massafra et al. Frontiers in medicine 2023 101116354
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Clinical applications of deep learning in breast MRI.
Xue Zhao et al. Biochimica et biophysica acta. Reviews on cancer 2023 1878(2) 188864
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Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review.
Marina Yusoff et al. Diagnostics (Basel, Switzerland) 2023 13(4)
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How Radiomics Can Improve Breast Cancer Diagnosis and Treatment.
Filippo Pesapane et al. Journal of clinical medicine 2023 12(4)
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Can we use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Post-Operative Adverse Events?
Mitchell S Fourman et al. World neurosurgery 2023
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Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
Amjad Khan et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 36(5) 100118
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Applications of Artificial Intelligence in Breast Pathology.
Yueping Liu et al. Archives of pathology & laboratory medicine 2023
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The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer.
Si Wu et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 36(3) 100054
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Artificial Intelligence in Breast X-Ray Imaging.
Srinivasan Vedantham et al. Seminars in ultrasound, CT, and MR 2023 44(1) 2-7
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Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records.
Nguyen Thi Hoang Trang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
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Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program.
Xiaoxi Huang et al. Frontiers in public health 2023 101098639
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Towards precision medicine based on a continuous deep learning optimization and ensemble approach.
Jian Li et al. NPJ digital medicine 2023 6(1) 18
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Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors.
Yu-Ru Su et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2023
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Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
Ruiyang Wu et al. PloS one 2023 18(1) e0280340
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Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
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Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Himanish Shekhar Das et al. Frontiers in genetics 2023 131097207
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Classification Prediction of Breast Cancer Based on Machine Learning.
Hua Chen et al. Computational intelligence and neuroscience 2023 20236530719
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Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Park Jung In et al. BMJ health & care informatics 2023 30(1)
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Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)
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HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
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Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction.
Nasser Maged et al. Diagnostics (Basel, Switzerland) 2023 13(1)
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Page last reviewed:
Feb 1, 2023
Page last updated:
Mar 27, 2023
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