Results 111 to 120 of about 306,357 (278)
Background Gastric outlet obstruction beyond the neonatal period is an extremely rare condition when other causes such as infantile hypertrophic pyloric stenosis, pyloric atresia, and antral diaphragm are ruled out.
Ahmed Oshiba+3 more
doaj +1 more source
Infantile Hypertrophic Pyloric Stenosis in Parent and Child [PDF]
T. McKeown, Brian MacMahon
openalex +1 more source
A case study of pyloric stenosis caused by metastatic lobular carcinoma of breast. [PDF]
Yoshida T+9 more
europepmc +1 more source
Successful Treatment of Recurrent Pyloric Stenosis Using Balloon Dilation. [PDF]
Pirkle JRA, Deutsch D.
europepmc +1 more source
M-SCAN: A Multistage Framework for Lumbar Spinal Canal Stenosis Grading Using Multi-View Cross Attention [PDF]
The increasing prevalence of lumbar spinal canal stenosis has resulted in a surge of MRI (Magnetic Resonance Imaging), leading to labor-intensive interpretation and significant inter-reader variability, even among expert radiologists. This paper introduces a novel and efficient deep-learning framework that fully automates the grading of lumbar spinal ...
arxiv
Histological and Histochemical Studies on the Esophagus, Stomach and Small Intestines of Vara-nus niloticus [PDF]
The aim of the current study was to investigate the morphological structure of one of the most common reptilian species in Egypt, Varanus niloticus or Nile monitor. Specimens for histological examination were collected from the esophageus, stomach and small intestine of the Nile monitor and processed for paraffin embedding.
arxiv
Infantile hypertrophic pyloric stenosis: data on 81 pairs of twins [PDF]
Brian MacMahon, Thomas McKeown
openalex +1 more source
Infantile Pyloric Stenosis [PDF]
D. G. Maurice+2 more
openaire +3 more sources
An Unusual Presentation of Pyloric Stenosis: A Case Report. [PDF]
Sodhani S, Patel AH, Morales Y.
europepmc +1 more source
Evaluating Stenosis Detection with Grounding DINO, YOLO, and DINO-DETR [PDF]
Detecting stenosis in coronary angiography is vital for diagnosing and managing cardiovascular diseases. This study evaluates the performance of state-of-the-art object detection models on the ARCADE dataset using the MMDetection framework. The models are assessed using COCO evaluation metrics, including Intersection over Union (IoU), Average Precision
arxiv