Background Radiomics can provide quantitative features from medical imaging that can be
correlated with various biological features and diverse clinical endpoints. Delta radiomics …

Radiomic datasets can be class-imbalanced, for instance, when the prevalence of diseases
varies notably, meaning that the number of positive samples is much smaller than that of …

Background Although there are many studies on the prognostic factors of left ventricular
myocardial noncompaction (LVNC), the determinants are varied and not entirely consistent …

In oncology, medical imaging is crucial for diagnosis, treatment planning and therapy
execution. Treatment responses can be complex and varied and are known to involve …

Background: The prognostic value of conducting 18F-FDG PET/CT imaging has yielded
different results in patients with laryngeal cancer and hypopharyngeal cancer, but these …

Background This study developed a nomogram model using CT-based delta-radiomics
features and clinical factors to predict pathological complete response (pCR) in esophageal …

Objectives To propose a radiomics-based prediction model for head and neck squamous
cell carcinoma (HSNCC) recurrence after radiation therapy using a novel data imbalance …

Background Forecasting the patient's response to neoadjuvant chemoradiotherapy (nCRT)
is crucial for managing locally advanced rectal cancer (LARC). This study investigates …

Objectives: To develop and validate an MRI radiomics-based decision support tool for the
automated grading of cervical disc degeneration. Methods: The retrospective study included …

磁共振成像(magnetic resonance imaging, MRI) 目前已广泛应用于直肠癌的分期, 疗效评估,
甚至可用于病理指标及基因突变的预测. 基于人工智能领域的影像组学和深度学习等方法从MRI …