Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names

Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names

Physicians often label anatomical structure sets in Digital Imaging and Communications in Medicine (DICOM) images with nonstandard random names. Hence, the standardization of these names for the Organs at Risk (OARs), Planning Target Volumes (PTVs), and ‘Other’ organs is a vital problem. This paper...

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Bibliographic Details
Main Authors: Priyankar Bose, Pratip Rana, William C. Sleeman, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta, Preetam Ghosh
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:BioMedInformatics
Subjects:
multimodal data integration
radiotherapy structure names
radiation oncology
deep learning
TG-263 names
Online Access:https://www.mdpi.com/2673-7426/3/3/34

Internet

https://www.mdpi.com/2673-7426/3/3/34

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