Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features
Abstract Objectives To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC). Methods DWI and clinical data from 155 EC patients were included in this study,...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-13424-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|