Development of an AI-based magnetic resonance imaging reading support program (AMP) for deep endometriosis diagnosis.
Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study - BioMedical Engineering OnLine
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study BioMedical Engineering OnLine
Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study - Nature
Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study Nature
Pilot Clinical and Radiomic Analysis of Deep Infiltrating Endometriosis of the Parametrium Using Shannon Entropy: A Retrospective Cohort Study.
Ultrasound techniques for diagnosing deep infiltrating endometriosis (DIE) currently lack a quantitative method to assess microstructural heterogeneity in relation to diagnosis and clinical symptoms. This study evaluates Shannon entropy-based radiomics …