Cargando…
Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia
Background and Objectives: Device-assisted enteroscopy (DAE) allows deep exploration of the small bowel and combines diagnostic and therapeutic capacities. Suspected mid-gastrointestinal bleeding is the most frequent indication for DAE, and vascular lesions, particularly angioectasia, are the most c...
Autores principales: | Mascarenhas Saraiva, Miguel, Ribeiro, Tiago, Afonso, João, Andrade, Patrícia, Cardoso, Pedro, Ferreira, João, Cardoso, Hélder, Macedo, Guilherme |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706550/ https://www.ncbi.nlm.nih.gov/pubmed/34946323 http://dx.doi.org/10.3390/medicina57121378 |
Ejemplares similares
-
Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions
por: Martins, Miguel, et al.
Publicado: (2023) -
Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network
por: Cardoso, Pedro, et al.
Publicado: (2022) -
Performance of a Deep Learning System for Automatic Diagnosis of Protruding Lesions in Colon Capsule Endoscopy
por: Mascarenhas, Miguel, et al.
Publicado: (2022) -
Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy
por: Mascarenhas, Miguel, et al.
Publicado: (2023) -
Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy
por: Ribeiro, Tiago, et al.
Publicado: (2023)