Cargando…

Emergency triage of brain computed tomography via anomaly detection with a deep generative model

Triage is essential for the early diagnosis and reporting of neurologic emergencies. Herein, we report the development of an anomaly detection algorithm (ADA) with a deep generative model trained on brain computed tomography (CT) images of healthy individuals that reprioritizes radiology worklists a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Seungjun, Jeong, Boryeong, Kim, Minjee, Jang, Ryoungwoo, Paik, Wooyul, Kang, Jiseon, Chung, Won Jung, Hong, Gil-Sun, Kim, Namkug
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307758/ https://www.ncbi.nlm.nih.gov/pubmed/35869112 http://dx.doi.org/10.1038/s41467-022-31808-0

Ejemplares similares

Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test
por: Park, Ho Young, et al.
Publicado: (2021)

Deep Learning in Medical Imaging
por: Kim, Mingyu, et al.
Publicado: (2020)

Deep Learning in Medical Imaging
por: Kim, Mingyu, et al.
Publicado: (2019)

Prediction of osteoporosis from simple hip radiography using deep learning algorithm
por: Jang, Ryoungwoo, et al.
Publicado: (2021)

Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches
por: Eun, Da-in, et al.
Publicado: (2020)

Unsupervised anomaly detection with generative adversarial networks in mammography
por: Park, Seungju, et al.
Publicado: (2023)

Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
por: Kim, Mingyu, et al.
Publicado: (2021)

Publisher Correction: Unsupervised anomaly detection with generative adversarial networks in mammography
por: Park, Seungju, et al.
Publicado: (2023)

Author Correction: Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
por: Kim, Mingyu, et al.
Publicado: (2021)

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease
por: Hwang, Hye Jeon, et al.
Publicado: (2023)

Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers
por: Jang, Ryoungwoo, et al.
Publicado: (2020)

Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias
por: Park, Doohyun, et al.
Publicado: (2023)

Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma
por: Paik, Wooyul, et al.
Publicado: (2016)

CT features of thyroid nodules with isolated macrocalcifications detected by ultrasonography
por: Paik, Wooyul, et al.
Publicado: (2020)

Ultrasonographic echogenicity of normal salivary glands in adults: comparison of submandibular and parotid glands
por: Choi, Insik, et al.
Publicado: (2021)

Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell Carcinoma
por: Kim, Minjae, et al.
Publicado: (2022)

Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection
por: Fan, Haoyi, et al.
Publicado: (2020)

Computed tomography anomalies associated with isolated hypoparathyroidism
por: Sugawara, Yu
Publicado: (2016)

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field
por: Christiansen, Peter, et al.
Publicado: (2016)

Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images
por: Ham, Sungwon, et al.
Publicado: (2023)

Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction
por: Kim, Dong-Yun, et al.
Publicado: (2022)

Unenhanced computed tomography (CT) utility for triage at the emergency department during COVID-19 pandemic
por: Skalidis, Ioannis, et al.
Publicado: (2021)

Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems
por: Ahn, Hyojung, et al.
Publicado: (2020)

Triage of patients with AUS/FLUS on thyroid cytopathology: effectiveness of the multimodal diagnostic techniques
por: Kim, Tae Hyuk, et al.
Publicado: (2016)

Coronary artery anomaly and evaluation by FFR computed tomography
por: Adjedj, Julien, et al.
Publicado: (2016)

Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs
por: Lee, Jun Soo, et al.
Publicado: (2023)

Prevalence of Congenital Coronary Artery Anomalies of Korean Men Detected by Coronary Computed Tomography
por: Park, Jae Hyun, et al.
Publicado: (2013)

Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network
por: Jang, Miso, et al.
Publicado: (2023)

Multimodal MRI-Based Triage for Acute Stroke Therapy: Challenges and Progress
por: Bang, Oh Young, et al.
Publicado: (2018)

Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling
por: Zhang, Hong-Tao, et al.
Publicado: (2023)

Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction
por: Kim, Dong-Yun, et al.
Publicado: (2022)

Paroxysmal Atrial Fibrillation Presenting as Acute Lower Limb Ischemia
por: Paik, Wooyul, et al.
Publicado: (2011)

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
por: Kim, Hyojune, et al.
Publicado: (2022)

Deep generative models for automated muscle segmentation in computed tomography scanning
por: Nishiyama, Daisuke, et al.
Publicado: (2021)

A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography
por: Yun, Changhee, et al.
Publicado: (2023)

The incidence of coronary anomalies on routine coronary computed tomography scans
por: Karabay, Kanber Ocal, et al.
Publicado: (2013)

Development of patient specific, realistic, and reusable video assisted thoracoscopic surgery simulator using 3D printing and pediatric computed tomography images
por: Hong, Dayeong, et al.
Publicado: (2021)

Evaluation of Cardiovascular Anomalies in Patients with Asymptomatic Turner Syndrome Using Multidetector Computed Tomography
por: Lee, Sun Hee, et al.
Publicado: (2013)

Vibrational Spectroscopy for the Triage of Traumatic Brain Injury Computed Tomography Priority and Hospital Admissions
por: Theakstone, Ashton G., et al.
Publicado: (2022)

Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model
por: Ahmed, Marwa M., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1cpsfoco62gh9tpv9rtti9nkp2