MRI Radiomics Model Predicts IL13Rα2 Expression and Survival in Glioblastoma
Glioblastoma remains one of the most formidable opponents in modern oncology. This aggressive brain tumor, classified by the World Health ...
Glioblastoma remains one of the most formidable opponents in modern oncology. This aggressive brain tumor, classified by the World Health ...
A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...
A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...
Researchers developed a whole-lung radiomics AI model that predicts which lung cancer patients will achieve complete pathological response to neoadjuvant ...
A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...
Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...
A systematic review of 25 studies finds that habitat imaging analysis reliably predicts pathological biomarkers, tumour characterisation and nodal status ...
Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...
A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine