Radiomics analysis for prediction and classification of submucosal tumors based on gastrointestinal endoscopic ultrasonography.
Hui ZhouGuoliang WeiJunke WuPublished in: DEN open (2024)
Utilizing the dataset provided curated from gastrointestinal EUS examinations at our collaborating hospital, we have developed a well-performing radiomics model. It can be used for personalized and non-invasive prediction of the type of submucosal tumors, providing physicians with aid for early treatment and management of tumor progression.
Keyphrases
- contrast enhanced
- lymph node metastasis
- primary care
- magnetic resonance imaging
- machine learning
- healthcare
- poor prognosis
- deep learning
- ultrasound guided
- squamous cell carcinoma
- computed tomography
- emergency department
- acute care
- adverse drug
- fine needle aspiration
- replacement therapy
- electronic health record
- drug induced