Search Tag: radiomics features

IMAGING Management

2025 11 Oct

  Anticipating postoperative outcomes in oesophageal squamous cell carcinoma (ESCC) remains difficult given frequent relapse and poor prognosis after recurrence. Contrast-enhanced CT contains quantitative information beyond routine visual assessment. By extracting radiomic features from preoperative CT and combining them with clinicopathological...Read more

Decision Support

2025 11 Oct

  Anticipating postoperative outcomes in oesophageal squamous cell carcinoma (ESCC) remains difficult given frequent relapse and poor prognosis after recurrence. Contrast-enhanced CT contains quantitative information beyond routine visual assessment. By extracting radiomic features from preoperative CT and combining them with clinicopathological...Read more

Artificial Intelligence

2025 11 Oct

  Anticipating postoperative outcomes in oesophageal squamous cell carcinoma (ESCC) remains difficult given frequent relapse and poor prognosis after recurrence. Contrast-enhanced CT contains quantitative information beyond routine visual assessment. By extracting radiomic features from preoperative CT and combining them with clinicopathological...Read more

IMAGING Management

2025 09 Apr

  Radiomics has emerged as a transformative approach in medical imaging, offering the potential to extract high-dimensional data from scans for enhanced disease characterisation and treatment prediction. In breast cancer, particularly in triple-negative breast cancer (TNBC), radiomics derived from magnetic resonance imaging (MRI) holds promise for...Read more