DCE-Qnet: Deep Network Quantification of Dynamic Contrast Enhanced (DCE) MRI [PDF]
arXivIntroduction: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption. Methods: A 7-layer neural network called DCE-Qnet was trained on simulated DCE-MRI signals derived from the Extended Tofts model with the Parker ...
arxiv
Corelaţia dintre examenul citomorfologic și cel patohistologic în displazia de col uterin [PDF]
, 2015 Introduction. The common problem in diagnostics of uterine cervical cancer is the difference in interpretation of the specimen using cytological and histological methods.
Lukianchuk, O. V., Rosha, L. G.
core
Electrical and Mechanical Modeling of Uterine Contractions Analysis Using Connectivity Methods and Graph Theory [PDF]
arXivPremature 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
Journal of Family and Reproductive HealthObjective: This study aimed to evaluate the effect of random biopsy and endo-cervical curettage (ECC), alone and together, in the diagnosis of high-grade cervical lesions in women with normal colposcopy. Materials and methods: This cross-sectional study
Akram Ghahghaei-Nezamabadi +3 more
doaj +1 more source
Prevalence of human papillomavirus genotypes in women with normal and abnormal cervical cytology in Iran [PDF]
, 2006 Introduction: HPV infection has a prime etiologic role in development and progression of cervical cancer, one of the most frequent forms of cancer among women in developing countries.
Dastan, J. +9 more
core
Adam-9 expression in squamous cell carcinoma, adenocarcinoma and adenosquamous cell carcinoma of the uterine cervix [PDF]
, 2012 Introduction: Cervical cancer is a preventable and the third most common cancer to occur in the reproductive age women. It is caused by the Human Papilloma Viruses.
Mohd Isa, Seoparjoo Azmel
core
Uterine Ultrasound Image Captioning Using Deep Learning Techniques [PDF]
arXivMedical 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
Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): Guidelines for medical 3D printing and appropriateness for clinical scenarios [PDF]
, 2014 Este número da revista Cadernos de Estudos Sociais estava em organização quando fomos colhidos pela morte do sociólogo Ernesto Laclau. Seu falecimento em 13 de abril de 2014 surpreendeu a todos, e particularmente ao editor Joanildo Burity, que foi seu ...
Burity, Joanildo +2 more
core +1 more source
Revista Brasileira de Ginecologia e ObstetríciaObjective: This study aimed to verify the relation between gastrin-releasing peptide receptor (GRPR), oncogenic Human Papillomavirus (HPV) and cervical lesions severity.
Martina Lichtenfels +12 more
doaj +1 more source
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis [PDF]
arXivCervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic techniques for accurate assessment. While MRI offers detailed visualization of cervical spine anatomy, manual interpretation remains labor-intensive and prone to error.
arxiv