Cargando…

Deep ensemble learning enables highly accurate classification of stored red blood cell morphology

Changes in red blood cell (RBC) morphology distribution have emerged as a quantitative biomarker for the degradation of RBC functional properties during hypothermic storage. Previously published automated methods for classifying the morphology of stored RBCs often had insufficient accuracy and relie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Routt, Austin H., Yang, Natalia, Piety, Nathaniel Z., Lu, Madeleine, Shevkoplyas, Sergey S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950070/ https://www.ncbi.nlm.nih.gov/pubmed/36823298 http://dx.doi.org/10.1038/s41598-023-30214-w

Ejemplares similares

Microfluidic capillary networks are more sensitive than ektacytometry to the decline of red blood cell deformability induced by storage
por: Piety, Nathaniel Z., et al.
Publicado: (2021)

Substituting Sodium Hydrosulfite with Sodium Metabisulfite Improves Long-Term Stability of a Distributable Paper-Based Test Kit for Point-of-Care Screening for Sickle Cell Anemia
por: Torabian, Kian, et al.
Publicado: (2017)

Validation of a Low-Cost Paper-Based Screening Test for Sickle Cell Anemia
por: Piety, Nathaniel Z., et al.
Publicado: (2016)

Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19()
por: Kumar, Santosh, et al.
Publicado: (2022)

An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images
por: Eshmawi, Ala' A., et al.
Publicado: (2022)

HIPPI: highly accurate protein family classification with ensembles of HMMs
por: Nguyen, Nam-phuong, et al.
Publicado: (2016)

Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles
por: Lässig, Nico, et al.
Publicado: (2022)

A Paper-Based Test for Screening Newborns for Sickle Cell Disease
por: Piety, Nathaniel Z., et al.
Publicado: (2017)

A high-throughput microfluidic device based on controlled incremental filtration to enable centrifugation-free, low extracorporeal volume leukapheresis
por: Lezzar, Dalia L., et al.
Publicado: (2022)

Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022)

Fruit Classification for Retail Stores Using Deep Learning
por: Rojas-Aranda, Jose Luis, et al.
Publicado: (2020)

Ensemble Deep-Learning-Enabled Clinical Decision Support System for Breast Cancer Diagnosis and Classification on Ultrasound Images
por: Ragab, Mahmoud, et al.
Publicado: (2022)

Concurrent Assessment of Deformability and Adhesiveness of Sickle Red Blood Cells by Measuring Perfusion of an Adhesive Artificial Microvascular Network
por: Lu, Madeleine, et al.
Publicado: (2021)

Efficient and accurate diagnosis of otomycosis using an ensemble deep-learning model
por: Mao, Chenggang, et al.
Publicado: (2022)

Morphological features of single cells enable accurate automated classification of cancer from non-cancer cell lines
por: Mousavikhamene, Zeynab, et al.
Publicado: (2021)

Ensemble Deep Learning for Biomedical Time Series Classification
por: Jin, Lin-peng, et al.
Publicado: (2016)

Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours
por: Jumper, John M., et al.
Publicado: (2018)

MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering
por: Kim, Eun-Youn, et al.
Publicado: (2009)

Efficient and accurate identification of ear diseases using an ensemble deep learning model
por: Zeng, Xinyu, et al.
Publicado: (2021)

Prediction of Neural Diameter From Morphology to Enable Accurate Simulation
por: Reed, Jonathan D., et al.
Publicado: (2021)

CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network
por: Lee, Kanggeun, et al.
Publicado: (2019)

P137 Deep learning enables accurate automatic sleep stage classification in a clinical paediatric population
por: Somaskandhan, P, et al.
Publicado: (2021)

Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles
por: Masumoto, Hiroki, et al.
Publicado: (2019)

Design ensemble deep learning model for pneumonia disease classification
por: El Asnaoui, Khalid
Publicado: (2021)

Collaborative driving style classification method enabled by majority voting ensemble learning for enhancing classification performance
por: Guo, Yi, et al.
Publicado: (2021)

P416 Efficient and accurate diagnosis of otomycosis using an ensemble deep learning model
por: Chenggang, Mao, et al.
Publicado: (2022)

Deep Learning Enables Fast and Accurate Imputation of Gene Expression
por: Viñas, Ramon, et al.
Publicado: (2021)

Traditional and emerging technologies for washing and volume reducing blood products
por: Lu, Madeleine, et al.
Publicado: (2019)

EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
por: Mondal, Sambit S., et al.
Publicado: (2022)

A deep learning based ensemble approach for protein allergen classification
por: Kumar, Arun, et al.
Publicado: (2023)

Time Dependent Assessment of Morphological Changes: Leukodepleted Packed Red Blood Cells Stored in SAGM
por: Mustafa, Ibrahim, et al.
Publicado: (2016)

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks
por: Kristianingsih, Ruth, et al.
Publicado: (2021)

Deformability of Stored Red Blood Cells
por: Barshtein, Gregory, et al.
Publicado: (2021)

Neutrophil extracellular traps in stored canine red blood cell units
por: McQuinn, Erin R., et al.
Publicado: (2020)

Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images
por: Wei, Xi, et al.
Publicado: (2020)

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
por: Hameed, Zabit, et al.
Publicado: (2020)

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks
por: Bermejo-Peláez, David, et al.
Publicado: (2020)

Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images
por: Ahmad, Fareed, et al.
Publicado: (2021)

Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning
por: Li, Xiaoshuo, et al.
Publicado: (2021)

One- and Two-Phase Software Requirement Classification Using Ensemble Deep Learning
por: Rahimi, Nouf, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_f7r0i1j5bhgdtfr60spbu623cg