Generative models improve radiomics performance in different tasks and different datasets: An experimental study
Purpose: Radiomics is an active area of research focusing on high throughput feature extraction from medical images with a wide array of applications in clinical practice, such as clinical decision support in oncology. However, noise in low dose computed tomography (CT) scans can impair the accurate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Associazione Italiana di Fisica Medica
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |