Results 71 to 80 of about 916 (177)
Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images [PDF]
This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including angioectasia, bleeding, and ulcers, thereby reducing the diagnostic burden on gastroenterologists.
arxiv
CapsuleNet: A Deep Learning Model To Classify GI Diseases Using EfficientNet-b7 [PDF]
Gastrointestinal (GI) diseases represent a significant global health concern, with Capsule Endoscopy (CE) offering a non-invasive method for diagnosis by capturing a large number of GI tract images. However, the sheer volume of video frames necessitates automated analysis to reduce the workload on doctors and increase the diagnostic accuracy.
arxiv
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT [PDF]
This Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrating the PubMedBERT language model with a Vision Transformer (ViT) to process endoscopic images, our ...
arxiv
Erythema chronicum migrans: Two cases from Europe
Rıdvan Güneş+4 more
openalex +3 more sources
An Atypical Case of Lyme Disease Presenting With Lyme Carditis. [PDF]
Najam US, Sheikh A.
europepmc +1 more source
Molecular detection of Spirochetes and Borrelia burgdorferi in stray dogs of Nineveh province, Iraq. [PDF]
Ajaj EA, Al-Jumaa ZM.
europepmc +1 more source