… To the best of our knowledge, multi-modality fusion radiomics features from different levels
have not been comprehensively investigated and compared in prognostic tasks. Thus, in the …

… for the prediction of OS, DM, and LR. Our study demonstrates that our multi-modality fusion
techniques performed better than using standalone PET or CT in prognostication of HNSCC …

… In the context of application to medical prognosis prediction in the current study, fusion of
multi-modality features and multi-classifiers is analogous to a decision-making process. The …

… in optic nerve head swelling and visual … fusion, prediction-level features belonging to two
modalities are extracted individually and well. And the final prediction is conducted after fusion. …

… fusion multi-modality radiomics models outperformed single-modality, feature-level fusion,
and clinical models for OS prediction … heterogeneity characterization in head and neck cancer. …

… (MSD) comparing the patient wise prediction by deep learning and ground truth delineated
… input-level fusion of CT-PET (Dice 0.58). Our results reiterate the improvement of late fusion …

… prognosis prediction, there are still some challenges in achieving effective multi-modal
fusion to improve cancer prognosis prediction… its superiority in multi-modal fusion, the use of …

… Additionally, we designed a multi-modality convolutional … clinical data to improve the model's
prediction ability. Main results. … 2019 Multi-level multi-modality fusion radiomics: application …

… (27) demonstrated that multi-level multi-modality fusion radiomics-… prediction for head and
neck cancer patients. These studies demonstrated the capabilities of radiomics for prognosis …

… were used to construct predictive models in head and neck cancer [9]. … multi-modality model
for lung cancer and a multi-classifier model for cervical cancer treatment outcome prediction…