Ara
Toplam kayıt 3, listelenen: 1-3
Contribution of F-18 fluorodeoxyglucose PET/CT and contrast-enhanced thoracic CT texture analyses to the differentiation of benign and malignant mediastinal lymph nodes
(Sage Publications, 2022)
Background Texture analysis and machine learning methods are useful in distinguishing between benign and malignant tissues. Purpose To discriminate benign from malignant or metastatic mediastinal lymph nodes using F-18 ...
Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancer
(Springer, 2023)
Purpose To investigate whether texture analysis of primary colonic mass in preoperative abdominal computed tomography
(CT) scans of patients diagnosed with colon cancer could predict tumor grade, T stage, and lymph node ...
Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening
(Springer, 2024)
PurposeTo distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined ...