From pixels to prognosis: unveiling radiomics models with SHAP and LIME for enhanced interpretability

S Raptis, C Ilioudis, K Theodorou - Biomedical Physics & …, 2024 - iopscience.iop.org
Radiomics-based prediction models have shown promise in predicting Radiation
Pneumonitis (RP), a common adverse outcome of chest irradiation. Τhis study looks into …

Classifying Dementia Severity using MRI Radiomics Analysis of the Hippocampus and Machine learning

DH Shih, YH Wu, TW Wu, YK Wang, MH Shih - IEEE Access, 2024 - ieeexplore.ieee.org
Dementia is a leading cause of global mortality, with limited treatment options available.
Patients progress through three stages: cognitive normal (CN), mild cognitive impairment …

Harmonizing Radiomics and Interpretable AI: Precision and Transparency in Oncological Prognostication

S Raptis, I Tsougos, K Theodorou… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This research aims to improve the understandability and trustworthiness of prediction
models in oncological prognostication by incorporating advanced methods like SHAP …

[HTML][HTML] Uncovering the Diagnostic Power of Radiomic Feature Significance in Automated Lung Cancer Detection: An Integrative Analysis of Texture, Shape, and …

S Raptis, C Ilioudis, K Theodorou - BioMedInformatics, 2024 - mdpi.com
Background: Lung cancer still maintains the leading position among causes of death in the
world; the process of early detection surely contributes to changes in the survival of patients …

Radiation Pneumonitis Prediction Using Dual-Modal Data Fusion Based on Med3D Transfer Network

J Tang, H Wang, D Wu, Y Kong, J Huang… - Journal of Imaging …, 2024 - Springer
Radiation pneumonitis (RP) is an inflammatory reaction in the lungs caused by radiation
therapy. The etiology of RP is complex and varied, making it challenging to establish …