AIMC Topic: Non-Muscle Invasive Bladder Neoplasms

Clear Filters Showing 1 to 2 of 2 articles

Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.

Journal of magnetic resonance imaging : JMRI Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Humans Retrospective Studies Female Reproducibility of Results Risk Factors Aged Radiomics Male Middle Aged Risk Assessment Deep Learning Magnetic Resonance Imaging Urinary Bladder Neoplasms Neoplasm Invasiveness Neoplasm Recurrence, Local Urinary Bladder Multiparametric Magnetic Resonance Imaging Non-Muscle Invasive Bladder Neoplasms
View on PubMed DOI

Prediction of non-muscle invasive bladder cancer recurrence using deep learning of pathology image.

Scientific reports Aug 15, 2024
We aimed to build a deep learning-based pathomics model to predict the early recurrence of non-muscle-infiltrating bladder cancer (NMIBC) in this work. A total of 147 patients from Xuzhou Central Hospital were enrolled as the training cohort, and 63 ...
Humans Female Aged Male Middle Aged Risk Assessment Deep Learning ROC Curve Neoplasm Recurrence, Local Non-Muscle Invasive Bladder Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals