Machine Learning Model Using CT Radiomics Achieves High Accuracy in Differentiating Malignant and Benign Endometrial Tumors geneonline.com
AI Radiomics Accurately Differentiates Endometrial Tumors Bioengineer.org
AI Radiomics Accurately Differentiates Endometrial Tumors BIOENGINEER.ORG
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study BioMedical Engineering OnLine
Endometriosis (EMs), a common gynecological disorder, involves complex molecular mechanisms. Metabolic reprogramming (MR) has been recognized as a hallmark of EMs, contributing to lesion survival and immune microenvironment remodeling. This …
Endometriosis (EMS) is a chronic disease characterized by unclear etiology, influenced by various genetic and environmental factors, with no definitive biomarkers available for early screening. Recent studies suggest that the …
Navigating Tumour Microenvironment in Endometrial Carcinoma: A Comprehensive Review Integrating Immunohistochemistry, Single-cell RNA-sequencing and Spatial Transcriptomics Frontiers
Mechanism of action of HuPoSan on EMs rats as revealed by multi-omics combined with network pharmacology ScienceDirect.com
Ovarian endometriosis (OE), characterized by endometriotic cysts, adversely affects ovarian function and comprises in vitro fertilization and embryo transfer (IVF-ET) outcomes. Acupoint application therapy (AAT), which integrates transdermal drug delivery …
Endometriosis (EMs) is a persistent inflammatory condition whose three main symptoms, mass, pain, and infertility, severely affect female patients of childbearing age. Hu-Po-San (HPS), a preparation consisting of various herbal …