Three-dimensional wavelet decomposition-based radiomics analysis for tumor characterization in patients with oropharyngeal squamous cell carcinoma [version 1; peer review: awaiting peer review]

• Published in: F1000 research Vol. 11; p. 1542
• Main Authors: Bagher-Ebadian, Hassan, Siddiqui, Farzan, Ghanem, Ahmed I., Movsas, Benjamin, Chetty, Indrin J.
• Format: Journal Article
• Language: English
• Published: 2022
• Subjects: Frequency-based Radiomics Analysis; HPV Characterization; Least Absolute Shrinkage and Selection Operator (Lasso); Generalized Linear Model (GLM); Radiomic Information; OPSCC patients; Feature Classification Analysis; Three-Dimensional Discrete Wavelet Decomposition Technique

Background: We investigated the potential predictive value along with interpretability of the three-dimensional wavelet decomposition (3D-WD)-based radiomics analysis for characterization of gross-tumor-volumes (GTVs) for patients with Human Papilloma Virus (HPV) oropharyngeal squamous cell carcinom...