Radiomics and artificial intelligence in malignant uterine body cancers: Protocol for a systematic review.
<h4>Introduction</h4>Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine sarcoma (USa). The clinical management of both is hindered by the complex classification of patients into risk classes. This problem could be simplified through the development of pr...
Main Authors: | Gloria Ravegnini, Martina Ferioli, Maria Abbondanza Pantaleo, Alessio G Morganti, Antonio De Leo, Pierandrea De Iaco, Stefania Rizzo, Anna Myriam Perrone |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0267727 |
Similar Items
-
Radiomics and artificial intelligence in malignant uterine body cancers: Protocol for a systematic review
by: Gloria Ravegnini, et al.
Published: (2022-01-01) -
Radiomics and Artificial Intelligence in Uterine Sarcomas: A Systematic Review
by: Gloria Ravegnini, et al.
Published: (2021-11-01) -
Uterine Preservation Treatments in Sarcomas: Oncological Problems and Reproductive Results: A Systematic Review
by: Giulia Dondi, et al.
Published: (2021-11-01) -
Impact of Chemotherapy in the Adjuvant Setting of Early Stage Uterine Leiomyosarcoma: A Systematic Review and Updated Meta-Analysis
by: Alessandro Rizzo, et al.
Published: (2020-07-01) -
Results of a Phase I-II Study on Laser Therapy for Vaginal Side Effects after Radiotherapy for Cancer of Uterine Cervix or Endometrium
by: Anna Myriam Perrone, et al.
Published: (2020-06-01)