Cargando…
Image Aided Recognition of Wireless Capsule Endoscope Based on the Neural Network
Wireless capsule endoscopy is an important method for diagnosing small bowel diseases, but it will collect thousands of endoscopy images that need to be diagnosed. The analysis of these images requires a huge workload and may cause manual reading errors. This article attempts to use neural networks...
Autor principal: | Lu, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010152/ https://www.ncbi.nlm.nih.gov/pubmed/35432820 http://dx.doi.org/10.1155/2022/3880356 |
Ejemplares similares
-
Retracted: Image Aided Recognition of Wireless Capsule Endoscope Based on the Neural Network
por: Healthcare Engineering, Journal of
Publicado: (2023) -
Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization
por: Wang, Sen, et al.
Publicado: (2019) -
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
por: Alaskar, Haya, et al.
Publicado: (2019) -
Robot-Aided Magnetic Navigation System for Wireless Capsule Manipulation
por: Im, Seyeong, et al.
Publicado: (2023) -
Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy
por: Chu, Ye, et al.
Publicado: (2023)