Predictive factors for chemoradiation-induced oral mucositis and dysphagia in head and neck cancer: a scoping review
AJ Nicol, JCF Ching, VCW Tam, KCK Liu, VWS Leung… - Cancers, 2023 - mdpi.com
Simple Summary Head and neck cancer is the seventh-most prevalent cancer worldwide.
Despite advances in treatment, many patients suffer from chemoradiation-induced oral …
Despite advances in treatment, many patients suffer from chemoradiation-induced oral …
Achievements and challenges in normal tissue response modelling for proton therapy
GM Engeseth, C Stokkevåg, LP Muren - Physics and Imaging in …, 2022 - phiro.science
119 found an overall risk of brain necrosis after proton therapy to be 7%(at 2-year follow-up
in 234 patients), of where the majority (5%) presented in the temporal lobes [19]. The …
in 234 patients), of where the majority (5%) presented in the temporal lobes [19]. The …
Impact of Modern Low Dose Involved Site Radiation Therapy on Normal Tissue Toxicity in Cervicothoracic Non-Hodgkin Lymphomas: A Biophysical Study
Simple Summary The effects of reduced prescription doses on normal tissue toxicity in the
treatment of non-Hodgkin lymphomas of the neck/thorax region remain unclear. Acute side …
treatment of non-Hodgkin lymphomas of the neck/thorax region remain unclear. Acute side …
[HTML][HTML] External validation of a multimodality deep-learning normal tissue complication probability model for mandibular osteoradionecrosis trained on 3D radiation …
Background and purpose While the inclusion of spatial dose information in deep learning
(DL)-based normal-tissue complication probability (NTCP) models has been the focus of …
(DL)-based normal-tissue complication probability (NTCP) models has been the focus of …
[PDF][PDF] Federated Learning for Analysis of Medical Images: A Survey
MI Sharif, M Mehmood, MDP UDDIN, K Siddique… - 2024 - dro.deakin.edu.au
Machine learning models trained in medical imaging can help in the early detection,
diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep …
diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep …