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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
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| Series: | BioMedInformatics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7426/3/3/34 |