Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set. [electronic resource]
Producer: 20190624Description: 455-463 p. digitalISSN:- 1573-7217
- Adult
- Aged
- Antineoplastic Combined Chemotherapy Protocols -- therapeutic use
- Breast -- diagnostic imaging
- Feasibility Studies
- Female
- Humans
- Image Processing, Computer-Assisted -- methods
- Machine Learning
- Magnetic Resonance Imaging
- Mastectomy, Segmental
- Middle Aged
- Neoadjuvant Therapy -- methods
- Neoplasm Staging
- ROC Curve
- Receptor, ErbB-2 -- metabolism
- Retrospective Studies
- Treatment Outcome
- Triple Negative Breast Neoplasms -- diagnostic imaging
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Publication Type: Journal Article; Validation Study
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