Results 181 to 190 of about 37,465 (368)

Capsule endoscopy in the evaluation of patients with suspected small intestinal bleeding: The results of the first clinical trial

open access: bronze, 2001
Rome Jutabha   +9 more
openalex   +1 more source

From Single to Multi‐Material 3D Printing of Glass‐Ceramics for Micro‐Optics

open access: yesSmall Methods, EarlyView.
This article explores advancements in two‐photon lithography (TPL) for fabricating high‐refractive‐index micro‐optics. It examines single and multi‐material 3D architectures in glass and ceramics (GLACEs), highlighting photoresin customization, critical fabrication conditions, and cross‐scale structural and optical characterization.
Joel Arriaga‐Dávila   +10 more
wiley   +1 more source

Exosome‐Based Theranostic for Gastrointestinal Cancer: Advances in Biomarker Discovery and Therapeutic Engineering

open access: yesSmall Methods, EarlyView.
This review explores the dual roles of exosomes in gastrointestinal (GI) cancers as diagnostic biomarkers and therapeutic agents. It highlights advancements in exosomal miRNAs, lncRNAs, circRNAs, and proteins for cancer detection and prognosis. The study also examines engineering strategies for exosome‐based drug delivery systems, their potential to ...
Mohit J. Mehta   +7 more
wiley   +1 more source

Aspiration of Capsule Endoscopy

open access: yesGE Portuguese Journal of Gastroenterology, 2015
Magalhães-Costa, Pedro   +2 more
openaire   +5 more sources

Wireless capsule endoscopy (CE) is more informative than ileoscopy and SBFT for the evaluation of the small intestine (SI) in patients with known or suspected Crohn's disease

open access: bronze, 2003
Peter Bloom   +8 more
openalex   +1 more source

Obscure gastrointestinal bleeding: a complication of radiation enteritis diagnosed by wireless capsule endoscopy [PDF]

open access: diamond, 2004
D. Martínez Ares   +6 more
openalex   +1 more source

FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification [PDF]

open access: yesarXiv
In order to improve model accuracy, generalization, and class imbalance issues, this work offers a strong methodology for classifying endoscopic images. We suggest a hybrid feature extraction method that combines convolutional neural networks (CNNs), multi-layer perceptrons (MLPs), and radiomics. Rich, multi-scale feature extraction is made possible by
arxiv  

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