In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma, and endometr...
We hypothesized that maternal nutrition and day of gestation would impact utero-placental mRNA expression of the nutrient transporters , , , , and in beef heifers. Crossbred Angus heifers (n = 49) were estrous synchronized, bred via AI, assigned to n...
STUDY OBJECTIVE: To prove the feasibility of the Shull technique by a laparoscopic approach in a patient affected by pelvic organ prolapse (POP) with apical loss of support.
BACKGROUND: Previously proposed criteria for preoperatively identifying endometrial cancer patients at low risk for lymph node metastasis remain to be verified. For this purpose, a prospective, multicenter observational study was performed.
Current opinion in obstetrics & gynecology
28594646
PURPOSE OF REVIEW: To review the use and efficacy of minimally invasive surgery in pelvic organ prolapse (POP) repair. This review summarizes surgical options for management of POP with special emphasis on minimally invasive surgical approach and dis...
In this study, we proposed an approach able to predict whether a pregnant woman with contractions would give birth earlier than expected (i.e., before the 37 week of gestation (WG)). It only processes non-invasive electrohysterographic (EHG) signals...
RATIONALE AND OBJECTIVE: Uterine leiomyomas with high signal intensity on T2-weighted imaging (T2WI) can be difficult to distinguish from sarcomas. This study assessed the feasibility of using machine learning to differentiate uterine sarcomas from l...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
31946329
The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activity during the four phases of the menstrual cycle. Four different classifiers, including support vecto...
BACKGROUND: This study was performed to evaluate the clinical feasibility of a U-net for fully automatic uterine segmentation on MRI by using images of major uterine disorders.
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...