Artificial intelligence in the interpretation of breast cancer on MRI
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Summary
The goals of AI in breast cancer imaging are described, in particular MRI, and the literature as it relates to the current application, potential, and limitations are reviewed.
- Type
- review
- Published
- 2019-07-25
- Cited by
- 183
- References
- 86
- OpenAlex
- https://openalex.org/W2963716858
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:198491265
Keywords
Breast cancer, Interpretation (philosophy), Breast MRI, Magnetic resonance imaging, Medical physics
References
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Cited by
- Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
- The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review
- Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning with Consideration of Peri-Tumor Tissue
- Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.
- Recent Advances of Bioresponsive Nano-Sized Contrast Agents for Ultra-High-Field Magnetic Resonance Imaging
- Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images
- A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research
- Prospective Deployment of Artificial Intelligence in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices
- Impact of Gene Biomarker Discovery Tools Based on Protein–Protein Interaction and Machine Learning on Performance of Artificial Intelligence Models in Predicting Clinical Stages of Breast Cancer
- The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
- Current trends of artificial intelligence in cancer imaging
- Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.
- Detection of Breast Cancer on Magnetic Resonance Imaging Using Hybrid Feature Extraction and Deep Neural Network Techniques
- Supplier-Induced Demand in Diagnostic MRI of Primary Breast Cancer
- The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review
- Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images
- Images Are Data: A Breast Imaging Perspective on a Contemporary Paradigm
- Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.
- Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI
- Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer
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