PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics [PDF]
Background. Eosinophilic esophagitis (EoE) is an allergic inflammatory condition of the esophagus associated with elevated numbers of eosinophils. Disease diagnosis and monitoring requires determining the concentration of eosinophils in esophageal biopsies, a time-consuming, tedious and somewhat subjective task currently performed by pathologists ...
arxiv
Eosinophilic dermatosis of hematologic malignancy: a case report [PDF]
Eosinophilic dermatosis of hematologic malignancy (EDHM) is a dermatosis characterized by tissue eosinophilia that has been previously reported as insect bite-like reaction.
Almeida, FT+4 more
core
Profile of reslizumab in eosinophilic disease and its potential in the treatment of poorly controlled eosinophilic asthma [PDF]
Peer reviewedPublisher ...
Walsh, Garry Michael
core +2 more sources
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features [PDF]
Goal: Eosinophilic esophagitis (EoE) is an allergic inflammatory condition characterized by eosinophil accumulation in the esophageal mucosa. EoE diagnosis includes a manual assessment of eosinophil levels in mucosal biopsies - a time-consuming, laborious task that is difficult to standardize. One of the main challenges in automating this process, like
arxiv
Eosinophilic cholecystitis: a rare cause of acute cholecystitis ‘case report’
We report two cases of eosinophilic acute cholecystitis in two male patients aged 43 and 20 years without peripheral eosinophilia.
Abdulkarim Hasan, Khalid Nafie
doaj +1 more source
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis [PDF]
Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated esophageal disease, characterized by symptoms related to esophageal dysfunction and histological evidence of eosinophil-dominant inflammation. Owing to the intricate microscopic representation of EoE in imaging, current methodologies which depend on manual identification are not only ...
arxiv
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population [PDF]
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemic COVID-19. Early symptoms overlap with other common conditions such as common cold and Influenza, making early screening and diagnosis are crucial goals for health practitioners.
arxiv +1 more source
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation [PDF]
Eosinophilic esophagitis (EoE) is a chronic and relapsing disease characterized by esophageal inflammation. Symptoms of EoE include difficulty swallowing, food impaction, and chest pain which significantly impact the quality of life, resulting in nutritional impairments, social limitations, and psychological distress.
arxiv
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task [PDF]
The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis. It is risky to put one's life in the hands of models that medical researchers do not fully understand. However, through model interpretation, black-box models can promptly reveal significant biomarkers that medical practitioners may
arxiv +1 more source
Optimal Management of Allergic Fungal Rhinosinusitis
Gaurav Medikeri,1 Amin Javer2 1Medikeri’s Superspeciality ENT Center, Bangalore, India; 2Rhinology & Skull Base Surgery, St. Paul’s Sinus Center, Vancouver, BC, CanadaCorrespondence: Amin JaverSt.
Medikeri G, Javer A
doaj