Knowledge, Attitude and Perceptions Around Perinatal Mental Health Among Doctors in an Obstetrics and Gynaecology Academic Department in Singapore. [PDF]
Cureus, 2023 Poo ZX +6 more
europepmc +1 more source
Obstetrical aspects in congenital ichtyosis [PDF]
, 2016 We present a case of congenital ichthyosis because obstetrical literature is scarce and most obstetricians could need a reminder and update. Congenital ichthyosis (CI) comprises a variety of skin disorders characterised by abnormal keratinization of the ...
Dehaene, Isabelle +2 more
core
Comparing proficiency of obstetrics and gynaecology trainees with general surgery trainees using simulated laparoscopic tasks in Health Education England, North-West: a prospective observational study. [PDF]
BMJ Open, 2023 Khan ZN +9 more
europepmc +1 more source
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images [PDF]
arXivSegmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) for monitoring labor progression, is a crucial first step for quantitative diagnosis and clinical decision-making.
arxiv
The need for and value of a Journal of Psychosomatic Obstetrics and Gynaecology [PDF]
, 1982 openalex +1 more source
Study of pre-conception care (PCC) amongst women in the first trimester coming to the obstetrics and gynaecology (OBGY) outpatient department (OPD) of a hospital in a rural area. [PDF]
J Family Med Prim Care, 2023 Phalke RD +5 more
europepmc +1 more source
Peripartum Hysterectomy among Patients Admitted to the Department of Obstetrics and Gynaecology in a Tertiary Care Centre: A Descriptive Cross-sectional Study. [PDF]
JNMA J Nepal Med Assoc, 2023 Lama S, Todi S, Shrestha R, Acharya S.
europepmc +1 more source
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