@inproceedings{ebba092ba7ee48aca4fe5bbeed265767,
title = "Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms",
abstract = "In oral cavity (OC) squamous cell cancer, the incidence of occult nodal metastases varies from 20% to 50% depending and tumor size and thickness. Besides clinical and histopathological factors, image-derived biomarkers may help estimate the probability of LN (lymph nodes) metastasis using a non-invasive approach to further stratify patients' need for neck dissection. We investigated the role of MR-based radiomics in predicting positive lymph nodes in OC patients, prior to surgery. We also investigated different supervised and unsupervised dimensionality reduction techniques, as well as different classifiers. Results showed that the combination of radiomics+clinical factors outperform radiomics and clinical predictors alone. Overall, a combination of supervised and supervised machine learning algorithms seems more suitable for better performances in radiomic studies.",
keywords = "magnetic resonance imaging, machine learning, oral cavity cancers, radiomics, RADIOMICS",
author = "A. Traversoa and A. Hosni-Abdalaty and M. Hasan and T. Tadic and T. Patel and M. Giuliani and J. Kim and J. Ringash and J. Cho and S. Bratman and A. Bayley and J. Waldron and B. O'Sullivan and J. Irish and D. Chepeha and {De Almeida}, J. and D. Goldstein and D. Jaffray and L. Wee and A. Dekker and A. Hope",
year = "2021",
doi = "10.1117/12.2560146",
language = "English",
isbn = "9781510634022",
series = "Progress in Biomedical Optics and Imaging",
publisher = "SPIE-INT SOC OPTICAL ENGINEERING",
number = "113172C",
editor = "A Krol and BS Gimi",
booktitle = "MEDICAL IMAGING 2020: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING",
note = "SPIE Medical Imaging Conference : Biomedical Applications in Molecular, Structural, and Functional Imaging, MI106 ; Conference date: 15-02-2020 Through 20-02-2020",
}