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Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods

Digital image-based signatures of breast tumors may ultimately contribute to the design of patient-specific breast cancer diagnostics and treatments. Beyond traditional human-engineered computer vision methods, tumor classification methods using transfer learning from deep convolutional neural netwo...

詳細記述

保存先:
書誌詳細
出版年:Proc IEEE Inst Electr Electron Eng
主要な著者: Whitney, Heather M., Li, Hui, Ji, Yu, Liu, Peifang, Giger, Maryellen L.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8152568/
https://ncbi.nlm.nih.gov/pubmed/34045769
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/jproc.2019.2950187
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