Results 91 to 100 of about 8,942 (237)

Contrast‐enhanced sonography during uterine artery embolization for the treatment of leiomyomas [PDF]

open access: bronze, 2004
H. Marret   +5 more
openalex   +1 more source

Milli-spinner thrombectomy [PDF]

open access: yesarXiv
Blockage of blood flow in arteries or veins by blood clots can lead to serious medical conditions. Mechanical thrombectomy (MT), minimally invasive endovascular procedures that utilize aspiration, stent retriever, or cutting mechanisms for clot removal have emerged as an effective treatment modality for ischemic stroke, myocardial infarction, pulmonary
arxiv  

Quantified short-term outcome of uterine artery embolization with gelatin sponge particles and lipiodol for symptomatic myoma [PDF]

open access: bronze, 2004
Li‐Ying Huang   +6 more
openalex   +1 more source

Pathologic Features of Uterine Leiomyomas Following Uterine Artery Embolization

open access: bronze, 2001
W. Glenn McCluggage   +3 more
openalex   +1 more source

Electrical and Mechanical Modeling of Uterine Contractions Analysis Using Connectivity Methods and Graph Theory [PDF]

open access: yesarXiv
Premature delivery is a leading cause of fetal death and morbidity, making the prediction and treatment of preterm contractions critical. The electrohysterographic (EHG) signal measures the electrical activity controlling uterine contraction. Analyzing EHG features can provide valuable insights for labor detection. In this paper, we propose a framework
arxiv  

MRI of Adenomyosis: Changes with Uterine Artery Embolization [PDF]

open access: green, 2006
Tetsuhisa Kitamura   +5 more
openalex   +1 more source

Uterine Artery Embolization for Symptomatic Adenomyosis with or without Uterine Leiomyomas with the Use of Calibrated Tris-acryl Gelatin Microspheres: Midterm Clinical and MR Imaging Follow-up [PDF]

open access: green, 2007
Paul N.M. Lohle   +7 more
openalex   +1 more source

Uterine Ultrasound Image Captioning Using Deep Learning Techniques [PDF]

open access: yesarXiv
Medical imaging has significantly revolutionized medical diagnostics and treatment planning, progressing from early X-ray usage to sophisticated methods like MRIs, CT scans, and ultrasounds. This paper investigates the use of deep learning for medical image captioning, with a particular focus on uterine ultrasound images.
arxiv  

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