Cargando…

Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks

INTRODUCTION: Adequate bowel preparation is integral to effective colonoscopy. Inadequate bowel preparation has been associated with reduced adenoma detection rate and increased post-colonoscopy colorectal cancer (PCCRC). As a result, the USMSTF recommends early interval reevaluation for colonoscopi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Low, Daniel J, Hong, Zhuoqiao, Jugnundan, Sechiv, Mukherjee, Anjishnu, Grover, Samir C
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713630/ https://www.ncbi.nlm.nih.gov/pubmed/36467599 http://dx.doi.org/10.1093/jcag/gwac013

Ejemplares similares

A120 AUTOMATED BOWEL PREPARATION DETECTION WITH DEEP. CONVOLUTIONAL NEURAL NETWORKS
por: Low, D J, et al.
Publicado: (2022)

Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network
por: Low, Daniel J., et al.
Publicado: (2021)

Alcohol-associated hepatitis
por: Jugnundan, Sechiv, et al.
Publicado: (2023)

Hépatite alcoolique
por: Jugnundan, Sechiv, et al.
Publicado: (2023)

Deep convolutional neural networks for automated scoring of pentagon copying test results
por: Maruta, Jumpei, et al.
Publicado: (2022)

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
por: Sadanandan, Sajith Kecheril, et al.
Publicado: (2017)

Automated interpretation of the coronary angioscopy with deep convolutional neural networks
por: Miyoshi, Toru, et al.
Publicado: (2020)

Factors affecting bowel preparation adequacy and procedural time
por: Zad, Mohammadali, et al.
Publicado: (2019)

Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks
por: Almutairi, Abdullah, et al.
Publicado: (2022)

Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks
por: Hasan, Md Imran, et al.
Publicado: (2022)

Automated detection of IVC filters on radiographs with deep convolutional neural networks
por: Mongan, John, et al.
Publicado: (2022)

Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material for Objective Evaluation of Bowel Preparation Quality in Colonoscopy
por: Wang, Yen-Po, et al.
Publicado: (2022)

Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment
por: Lin, Wenyi, et al.
Publicado: (2020)

Factors Influencing the Adequacy of Bowel Preparation in Patients With Developmental Disabilities
por: Parungao, Jose Mari, et al.
Publicado: (2018)

Impact of Residing in Below Median Household Income Districts on Outcomes in Patients with Advanced Barrett’s Esophagus
por: Li, Suqing, et al.
Publicado: (2023)

Automated abnormality classification of chest radiographs using deep convolutional neural networks
por: Tang, Yu-Xing, et al.
Publicado: (2020)

Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network
por: Arif, Muhammad, et al.
Publicado: (2022)

Image‐based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks
por: Schaap, M.J., et al.
Publicado: (2021)

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
por: Bousabarah, Khaled, et al.
Publicado: (2020)

Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
por: Shahzad, Ahsan, et al.
Publicado: (2023)

Retracted: Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network
por: Healthcare Engineering, Journal of
Publicado: (2023)

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network
por: Huang, Chen, et al.
Publicado: (2019)

Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging
por: Beliveau, Vincent, et al.
Publicado: (2021)

Automated detection of anterior cruciate ligament tears using a deep convolutional neural network
por: Minamoto, Yusuke, et al.
Publicado: (2022)

Automated cornea diagnosis using deep convolutional neural networks based on cornea topography maps
por: Fassbind, Benjamin, et al.
Publicado: (2023)

Automated spectroscopic modelling with optimised convolutional neural networks
por: Shen, Zefang, et al.
Publicado: (2021)

Convolutional neural network for automated mass segmentation in mammography
por: Abdelhafiz, Dina, et al.
Publicado: (2020)

Convolutional Neural Networks for Challenges in Automated Nuclide Identification
por: Turner, Anthony N., et al.
Publicado: (2021)

Automated COVID-19 detection with convolutional neural networks
por: Dumakude, Aphelele, et al.
Publicado: (2023)

Split-dose bowel preparation improves adequacy of bowel preparation and gastroenterologists’ adherence to National Colorectal Cancer Screening and Surveillance Guidelines
por: Menees, Stacy Bartnik, et al.
Publicado: (2018)

Automated Cow Body Condition Scoring Using Multiple 3D Cameras and Convolutional Neural Networks
por: Summerfield, Gary I., et al.
Publicado: (2023)

Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image
por: Xu, Kele, et al.
Publicado: (2017)

Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks
por: Teramoto, Atsushi, et al.
Publicado: (2017)

Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network
por: Halberstadt, Adam L.
Publicado: (2020)

Automated detection of myopic maculopathy from color fundus photographs using deep convolutional neural networks
por: Li, Jun, et al.
Publicado: (2022)

Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network
por: Khazaei, Maryam, et al.
Publicado: (2022)

Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software
por: Kim, Ho-Jin, et al.
Publicado: (2022)

Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network
por: Li, Yang, et al.
Publicado: (2022)

Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network
por: Chen, Chaoyue, et al.
Publicado: (2022)

Predicting enhancers with deep convolutional neural networks
por: Min, Xu, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_6kqej2bcl54grjese2p0b2r74p