Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows
Endometrial cancer (EC) is intricately linked to obesity and diabetes, which are widespread risk factors. Medical imaging, especially magnetic resonance imaging (MRI), plays a major role in EC assessment, particularly for disease staging. However, the diagnostic performance of MRI exhibits variabili...
Main Authors: | Elisabetta Leo, Arnaldo Stanzione, Mariaelena Miele, Renato Cuocolo, Giacomo Sica, Mariano Scaglione, Luigi Camera, Simone Maurea, Pier Paolo Mainenti |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/13/1/226 |
Similar Items
-
Radiomics in Cross-Sectional Adrenal Imaging: A Systematic Review and Quality Assessment Study
by: Arnaldo Stanzione, et al.
Published: (2022-02-01) -
Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges
by: Arnaldo Stanzione, et al.
Published: (2022-10-01) -
Radiomics-based fertility-sparing treatment in endometrial carcinoma: a review
by: Yuanjian Wang, et al.
Published: (2023-07-01) -
Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia
by: Jieying Zhang, et al.
Published: (2022-05-01) -
Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study
by: Qiu Bi, et al.
Published: (2022-08-01)