OSUVA - Selaus tekijän "Coletta, Ricardo D." mukaan
Aineistot 1-3 / 3
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Clinical significance of tumor-stroma ratio in head and neck cancer : a systematic review and meta-analysis
(BioMed Central, 30.04.2021)
articleBackground The clinical significance of tumor-stroma ratio (TSR) has been examined in many tumors. Here we systematically reviewed all studies that evaluated TSR in head and neck cancer. Methods Four databases (Scopus, ... -
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
(Elsevier, 01.04.2020)
articleBackground The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for ... -
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a web-based prognostic tool
(Springer, 17.08.2019)
articleEstimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict ...
