Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.

Purpose: The current study aimed to evaluate the association of endorectal ultrasound (EUS) radiomics features at different denoising filters based on machine learning algorithms and to predict radiotherapy response in locally advanced rectal cancer (LARC) patients. Methods: The EUS images of forty-...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 47; no. 11; pp. 3645 - 3660
Main Authors:	Abbaspour, Samira, Abdollahi, Hamid, Arabalibeik, Hossein, Barahman, Maedeh, Arefpour, Amir Mohammad, Fadavi, Pedram, Ay, Mohammadreza, Mahdavi, Seied Rabi
Format:	Journal Article
Published:	Springer Nature Nov2022
Online Access:	View this record in EBSCOhost