Swift prediction of personalized head and chest organ doses from CT examinations via neural networks with optimized quantity of hidden layers and radiomics features
Objective: To utilize radiomics features to enhance the prediction of personalized organ doses from CT scans, in order to explore methods for improving neural network-based models. Methods: Patient CT DICOM files were processed using DeepViewer to define regions of interest (ROIs) in their organs. R...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Radiation Medicine and Protection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666555725000218 |
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