Radiogenomics: A Personalized Strategy for Predicting Radiation-Induced Dermatitis
Although radiation therapy (RT) planning and execution techniques have evolved to minimize radiotoxicity to a considerable extent, adjacent tissues still receive a substantial dose of ionizing radiation, resulting in radiotoxicities that may limit patients’ quality of life. Depending on the location...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/84942 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Radiogenomics: A Personalized Strategy for Predicting Radiation-Induced Dermatitis
- Brain Tumor Radiogenomic Classification
- Biomarkers in Lung Cancer: Integration with Radiogenomics Data
- Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
- Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma
- Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection
- Radiation-Induced Glioma