Results 61 to 70 of about 30,265 (160)
Journal of Medical Case ReportsBackground Abnormal uterine bleeding, formerly known as menometrorrhagia, is estimated to occur in up to one-third of women, commonly at menarche or perimenopause.
Shamsa M. Qaadri +3 more
doaj +1 more source
Conceptual Model Design and Evaluation of a Preeclampsia Self-Management Application; Android based
پیاورد سلامت, 2022 Background and Aim: Preeclampsia is one of the most serious cases of high-risk pregnancies that endanger women’s health worldwide, especially in developing countries.
Shahrbanoo Pahlevanynejad +3 more
doaj
Review of Quantitative Systems Pharmacological Modeling in Thrombosis [PDF]
arXiv, 2019 Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same
arxiv
The Egyptian Journal of Radiology and Nuclear Medicine, 2016 Objectives: To compare between the diagnostic accuracy of 3D saline infusion sonohysterography (SIS) and hysteroscopy in detection of intracavitary uterine abnormalities in premenopausal women with abnormal uterine bleeding. Patients and methods: In this
Yasser I. Abd Elkhalek +2 more
doaj +1 more source
Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes [PDF]
arXivPlacenta Accreta Spectrum Disorders (PAS) pose significant risks during pregnancy, frequently leading to postpartum hemorrhage during cesarean deliveries and other severe clinical complications, with bleeding severity correlating to the degree of placental invasion. Consequently, accurate prenatal diagnosis of PAS and its subtypes-placenta accreta (PA),
arxiv
Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images [PDF]
arXivThis paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including angioectasia, bleeding, and ulcers, thereby reducing the diagnostic burden on gastroenterologists.
arxiv
Diagnostic Approach of Abnormal Uterine Bleeding
Indonesian Journal of Obstetrics and Gynecology, 2014 Objective: To introduce and apply PALM-COEIN classification system as standard diagnostic approach of AUB to investigate the etiology. Method: Three cases willbe discussed.
Riyan H. Kurniawan +1 more
doaj +1 more source
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT [PDF]
arXivThis Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrating the PubMedBERT language model with a Vision Transformer (ViT) to process endoscopic images, our ...
arxiv
Taiwanese Journal of Obstetrics & Gynecology, 2019 Objective: The aim of the present study was to describe various hysteroscopic findings of previous cesarean delivery scar defects (PCDS), and evaluate the relationship between these findings and abnormal uterine bleeding.
Ying-Yi Chen +4 more
doaj
Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformations [PDF]
arXivAbnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effective automatic classification of these abnormalities from a video capsule endoscopy (VCE) frame is crucial for improvement in diagnostic workflows.
arxiv