Rapid visualizing and pathological grading of bladder tumor tissues by simple nanodiagnostics.
Sign Up to like & getrecommendations! Published in 2020 at "Biomaterials"
DOI: 10.1016/j.biomaterials.2020.120434
Abstract: Developing a tissue diagnosis technology to avoid the complicated processes and the usage of expensive reagents while achieving rapid pathological grading diagnosis to provide a better strategy for clinical treatment is an important strategy of… read more here.
Keywords: rgd senps; tumor tissues; tissue; tumor ... See more keywords
CT habitat radiomics and topological data analysis based on interpretable machine learning for prediction of pancreatic ductal adenocarcinoma pathological grading.
Sign Up to like & getrecommendations! Published in 2025 at "BMC medical imaging"
DOI: 10.1186/s12880-025-02094-1
Abstract: This study explores the feasibility and effectiveness of an interpretable machine learning model for assessing the pathological grading of pancreatic ductal adenocarcinoma (PDAC) using radiomics and topological features derived from contrast-enhanced CT habitat subregions. A… read more here.
Keywords: pathological grading; habitat; analysis; machine learning ... See more keywords
Interpretable deep learning model and nomogram for predicting pathological grading of PNETs based on endoscopic ultrasound
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-025-03193-3
Abstract: This study aims to develop and validate an interpretable deep learning (DL) model and a nomogram based on endoscopic ultrasound (EUS) images for the prediction of pathological grading in pancreatic neuroendocrine tumors (PNETs). This multicenter… read more here.
Keywords: interpretable deep; deep learning; pathological grading; model nomogram ... See more keywords