Radiomics in Head and Neck Cancer Outcome Predictions.

ABSTRACT: Head and neck cancer has great regional anatomical complexity, as it can develop in different structures, exhibiting diverse tumour manifestations and high intratumoural heterogeneity, which is highly related to resistance to treatment, progression, the appearance of metastases, and tumour recurrences. Radiomics has the potential to address these obstacles by extracting quantitative, measurable, and extractable features from the region of interest in medical images. Medical imaging is a common source of information in clinical practice, presenting a potential alternative to biopsy, as it allows the extraction of a large number of features that, although not visible to the naked eye, may be relevant for tumour characterisation. Taking advantage of machine learning techniques, the set of fea

SUBMITTER: Goncalves M 

PROVIDER: S-EPMC9689406 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature