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Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response (pCR) after neoadjuvant chemoradiotherapy (CRT) provides them with the optimal prognosis. However, no reliable prediction model is presently available. We evaluated the performance of an artificial ne...
שמור ב:
| הוצא לאור ב: | Sci Rep |
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| Main Authors: | , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Publishing Group UK
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7387337/ https://ncbi.nlm.nih.gov/pubmed/32724164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-69345-9 |
| תגים: |
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