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Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer
OBJECTIVE: To establish and validate a radiomics nomogram based on the features of the primary tumor for predicting preoperative pathological extramural venous invasion (EMVI) in rectal cancer using machine learning. METHODS: The clinical and imaging data of 281 patients with primary rectal cancer f...
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| 出版年: | Front Oncol |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2021
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8033032/ https://ncbi.nlm.nih.gov/pubmed/33842316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.610338 |
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