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Radiomics AI prediction for head and neck squamous cell carcinoma (HNSCC) prognosis and recurrence with target volume approach
OBJECTIVES: To evaluate the performance of radiomics features extracted from planning target volume (PTV) and gross tumor volume (GTV) in the prediction of the death prognosis and cancer recurrence rate for head and neck squamous cell carcinoma (HNSCC). METHODS: 188 HNSCC patients’ planning CT image...
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| Опубликовано в: : | BJR Open |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
The British Institute of Radiology.
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8320130/ https://ncbi.nlm.nih.gov/pubmed/34381946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjro.20200073 |
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