Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models

Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models

Abstract Background Computed Tomography (CT) imaging is essential for disease detection but carries a risk of cancer due to X‐ray exposure. Typically, assessing this risk requires segmentation of the internal organ contours to predict organ doses, which hinders its clinical application. This study i...

Full description

Saved in:
Bibliographic Details
Main Authors: Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Precision Radiation Oncology
Subjects:
computed tomography
organ dose
radiomics features
segmentation‐free
support vector regression
Online Access:https://doi.org/10.1002/pro6.70016
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/pro6.70016

Similar Items