The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …

Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …

Background Oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric
junction are among the most common malignant epithelial tumours. Most patients receive …

Purpose Studies based on machine learning-based quantitative imaging techniques have
gained much interest in cancer research. The aim of this review is to critically appraise the …

Introduction Esophageal cancer (EC) is a significant global health problem, with an
estimated 7th highest incidence and 6th highest mortality rate. Timely diagnosis and …

Objective Invasive lung adenocarcinoma (ILA) with micropapillary (MPP)/solid (SOL)
components has a poor prognosis. Preoperative identification is essential for decision …

Simple Summary Radiotherapy plays an important role in the management of esophageal
cancer. Historically, it has been used in different settings—adjuvant, neoadjuvant, definitive …

Objectives Recurrence risk evaluation is clinically significant for patients with locally
advanced cervical cancer (LACC). We investigated the ability of transformer network in …

Objectives To develop a multi-institutional prediction model to estimate the local response to
oesophageal squamous cell carcinoma (ESCC) treated with definitive radiotherapy based …

The gold standard for esophageal cancer diagnosis and treatment is the Thinprep Cytologic
Test (TCT) of suspected sections. TCT refers to analyze the features of the lesion areas …