Large-scale uterine myoma MRI dataset covering all FIGO types with pixel-level annotations.
Sci Data
; 11(1): 410, 2024 Apr 22.
Article
in En
| MEDLINE
| ID: mdl-38649693
ABSTRACT
Uterine myomas are the most common pelvic tumors in women, which can lead to abnormal uterine bleeding, abdominal pain, pelvic compression symptoms, infertility, or adverse pregnancy. In this article, we provide a dataset named uterine myoma MRI dataset (UMD), which can be used for clinical research on uterine myoma imaging. The UMD is the largest publicly available uterine MRI dataset to date including 300 cases of uterine myoma T2-weighted imaging (T2WI) sagittal patient images and their corresponding annotation files. The UMD covers 9 types of uterine myomas classified by the International Federation of Obstetrics and Gynecology (FIGO), which were annotated and reviewed by 11 experienced doctors to ensure the authority of the annotated data. The UMD is helpful for uterine myomas classification and uterine 3D reconstruction tasks, which has important implications for clinical research on uterine myomas.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Uterine Neoplasms
/
Magnetic Resonance Imaging
/
Leiomyoma
Limits:
Female
/
Humans
Language:
En
Journal:
Sci Data
Year:
2024
Document type:
Article
Affiliation country: