AIMC Topic: Uterus

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Searching collaborative agents for multi-plane localization in 3D ultrasound.

Medical image analysis
3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic information not contained in 2D US. Moreover, 3D US can contain multiple standard planes (SPs) in one shot. Thus, automatically localizing SPs in 3D US has the potential t...

Robot-assisted laparoscopic hysterectomy for endometrial cancer in a patient with Herlyn-Werner-Wunderlich syndrome.

BMJ case reports
Herlyn-Werner-Wunderlich syndrome, a rare Mullerian duct anomaly, includes a triad of uterine didelphys, obstructed haemivagina and ipsilateral renal agenesis. A 58-year-old woman with Herlyn-Werner-Wunderlich syndrome, reported of recurrent genital ...

Robot-assisted re-do sacrohysteropexy after anterior abdominal wall hysteropexy.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: We report the case of a 49-year-old woman who came to our institution complaining of bowel constipation and bladder outlet obstruction due to the recurrence of a pelvic prolapse after anterior abdominal wall hysteropexy p...

Detecting the occluding contours of the uterus to automatise augmented laparoscopy: score, loss, dataset, evaluation and user study.

International journal of computer assisted radiology and surgery
PURPOSE: The registration of a preoperative 3D model, reconstructed, for example, from MRI, to intraoperative laparoscopy 2D images, is the main challenge to achieve augmented reality in laparoscopy. The current systems have a major limitation: they ...

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Scientific reports
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...

Automatic segmentation of the uterus on MRI using a convolutional neural network.

Computers in biology and medicine
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.

Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.

Academic radiology
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...

Current Status of Magnetic Resonance Imaging in Patients with Malignant Uterine Neoplasms: A Review.

Korean journal of radiology
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...

Laparoscopic Approach for Shull Repair of Pelvic Floor Defects.

Journal of minimally invasive gynecology
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.