Construction of the preoperative staging prediction model for cervical cancer based on deep learning and MRI: a retrospective study
BackgroundCervical cancer remains a significant global health concern, particularly for women. Accurate preoperative staging is crucial for treatment planning and long-term prognosis. Traditional staging methods rely on manual imaging analysis, which is subjective and time-consuming. Deep learning-b...
Saved in:
| Main Authors: | Xuhao Dai, Xiaoxian Ye, Jiangping Ren, Jiming Yang, Yingying Zhou, Zhaoyang Ma, Pengrong Lou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1557486/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MRI OPPORTUNITIES IN CERVICAL CANCER LOCAL STAGING PREOPERATIVE EVALUATION
by: N. A. Rubtsova, et al.
Published: (2016-09-01) -
Concordance between MRI and clinical examination in cervical cancer staging: a retrospective study
by: Umesh Sharma, et al.
Published: (2025-07-01) -
Role of MRI in Preoperative and Postoperative Evaluation of Anorectal Malformation
by: Gehad Mostafa Sayed, et al.
Published: (2024-07-01) -
DIAGNOSTIC VALUE OF ULTRASOUND EXAMINATION IN PREOPERATIVE STAGING OF DISSEMINATED OVARIAN CANCER
by: N. V. Vyatkina, et al.
Published: (2016-10-01) -
The safe surgical strategy using preoperative embolization for cervical dumbbell tumor with large vertebral body Involvement: A case report
by: Nobuaki Tadokoro, et al.
Published: (2025-06-01)