Results 21 to 25 of about 96 (25)

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation [PDF]

arXiv
Eosinophilic Esophagitis (EoE) represents a challenging condition for medical providers today. The cause is currently unknown, the impact on a patient's daily life is significant, and it is increasing in prevalence. Traditional approaches for medical image diagnosis such as standard deep learning algorithms are limited by the relatively small amount of
arxiv  

Enhanced Feature-based Image Stitching for Endoscopic Videos in Pediatric Eosinophilic Esophagitis [PDF]

arXiv
Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Reviewing endoscopy videos often involves frequent adjustments and reorientations to piece together a complete view, which can be both time-consuming and prone to errors.
arxiv  

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation [PDF]

arXiv
Chronic rhinosinusitis (CRS) is characterized by persistent inflammation in the paranasal sinuses, leading to typical symptoms of nasal congestion, facial pressure, olfactory dysfunction, and discolored nasal drainage, which can significantly impact quality-of-life. Eosinophils (Eos), a crucial component in the mucosal immune response, have been linked
arxiv  

Defining the relationship between cathepsin B and esophageal adenocarcinoma: conjoint analysis of Mendelian randomization, transcriptome-wide association studies, and single-cell RNA sequencing data [PDF]

arXiv
Background: Esophageal cancer poses a significant global health challenge, with the incidence of esophageal adenocarcinoma (EAC), a predominant subtype, increasing notably in Western countries. Cathepsins, a family of lysosomal proteolytic enzymes, have been implicated in the progression of various tumors.
arxiv  

Detecting and clustering swallow events in esophageal long-term high-resolution manometry [PDF]

arXiv
High-resolution manometry (HRM) is the gold standard in diagnosing esophageal motility disorders. As HRM is typically conducted under short-term laboratory settings, intermittently occurring disorders are likely to be missed. Therefore, long-term (up to 24h) HRM (LTHRM) is used to gain detailed insights into the swallowing behavior.
arxiv