Cargando…

A deep learning model for detection of leukocytes under various interference factors

The accurate detection of leukocytes is the basis for the diagnosis of blood system diseases. However, diagnosing leukocyte disorders by doctors is time-consuming and requires extensive experience. Automated detection methods with high accuracy can improve detection efficiency and provide recommenda...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Meiyu, Lin, Cong, Ge, Peng, Li, Lei, Song, Shuang, Zhang, Hanshan, Lu, Lu, Liu, Xiaoxiang, Zheng, Fang, Zhang, Shijie, Sun, Xuguo
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/PMC9905612/ https://www.ncbi.nlm.nih.gov/pubmed/36750590 http://dx.doi.org/10.1038/s41598-023-29331-3

Ejemplares similares

Computational interference microscopy enabled by deep learning
por: Jiao, Yuheng, et al.
Publicado: (2021)

Deep learning approach to peripheral leukocyte recognition
por: Wang, Qiwei, et al.
Publicado: (2019)

Improved Deep Residual Shrinkage Network for Intelligent Interference Recognition with Unknown Interference
por: Wu, Xiaojun, et al.
Publicado: (2023)

IODINATING ABILITY OF VARIOUS LEUKOCYTES AND THEIR BACTERICIDAL ACTIVITY
por: Simmons, S. R., et al.
Publicado: (1973)

Identification of Unique Genetic Biomarkers of Various Subtypes of Glomerulonephritis Using Machine Learning and Deep Learning
por: Qing, Jianbo, et al.
Publicado: (2022)

False-positive Urine Pregnancy Test Due to Leukocyte Interference
por: Jao, Hsiu-Fen, et al.
Publicado: (2012)

Magnetically Induced Temporal Interference for Focal and Deep-Brain Stimulation
por: Xin, Zonghao, et al.
Publicado: (2021)

Interference with Glycosaminoglycan-Chemokine Interactions with a Probe to Alter Leukocyte Recruitment and Inflammation In Vivo
por: Li, Sandra, et al.
Publicado: (2014)

Automated exploitation of deep learning for cancer patient stratification across multiple types
por: Sun, Pingping, et al.
Publicado: (2023)

Limited Dose-Dependent Effects of Vedolizumab on Various Leukocyte Subsets
por: Becker, Emily, et al.
Publicado: (2022)

DeepScreen: An Accurate, Rapid, and Anti‐Interference Screening Approach for Nanoformulated Medication by Deep Learning
por: Zhu, Yanjing, et al.
Publicado: (2018)

Evaluation of Leukocyte and Bacterial Interference in Point-of-Care Human Chorionic Gonadotropin Tests
por: Mitsios, John V., et al.
Publicado: (2013)

Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning
por: Zhang, Xudong, et al.
Publicado: (2018)

Post-task Effects on EEG Brain Activity Differ for Various Differential Learning and Contextual Interference Protocols
por: Henz, Diana, et al.
Publicado: (2018)

Automatic Colorectal Cancer Screening Using Deep Learning in Spatial Light Interference Microscopy Data
por: Zhang, Jingfang K., et al.
Publicado: (2022)

Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification
por: Houssein, Essam H., et al.
Publicado: (2023)

A review on machine learning and deep learning for various antenna design applications
por: Khan, Mohammad Monirujjaman, et al.
Publicado: (2022)

Lung Diseases Detection Using Various Deep Learning Algorithms
por: Jasmine Pemeena Priyadarsini, M., et al.
Publicado: (2023)

Mining influential genes based on deep learning
por: Kong, Lingpeng, et al.
Publicado: (2021)

Deep Learning-Based Morphological Classification of Endoplasmic Reticulum Under Stress
por: Guo, Yuanhao, et al.
Publicado: (2022)

A deep learning-based model (DeepMPM) to help predict survival in patients with malignant pleural mesothelioma
por: Li, Wei, et al.
Publicado: (2023)

Clinical value of miRNA-122 in the diagnosis and prognosis of various types of cancer
por: Dai, Meiyu, et al.
Publicado: (2019)

A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance
por: Lu, Hongxia, et al.
Publicado: (2022)

Prediction for optimal dosage of pazopanib under various clinical situations using physiologically based pharmacokinetic modeling
por: Wu, Chunnuan, et al.
Publicado: (2022)

Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning
por: van Huizen, Laura M. G., et al.
Publicado: (2023)

Temporal phase unwrapping using deep learning
por: Yin, Wei, et al.
Publicado: (2019)

Fully automated platelet differential interference contrast image analysis via deep learning
por: Kempster, Carly, et al.
Publicado: (2022)

Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe
por: Lee, Woojin, et al.
Publicado: (2023)

Expression-EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning
por: Lu, Yu, et al.
Publicado: (2021)

Monitoring social distancing under various low light conditions with deep learning and a single motionless time of flight camera
por: Rahim, Adina, et al.
Publicado: (2021)

Learning Mobile Manipulation through Deep Reinforcement Learning
por: Wang, Cong, et al.
Publicado: (2020)

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning
por: LI, MENGZHOU, et al.
Publicado: (2020)

A reconstruction algorithm for compressive quantum tomography using various measurement sets
por: Zheng, Kai, et al.
Publicado: (2016)

Silencing of Cytochrome P450 in Spodoptera frugiperda (Lepidoptera: Noctuidae) by RNA Interference Enhances Susceptibility to Chlorantraniliprole
por: Bai-Zhong, Zhang, et al.
Publicado: (2020)

Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size
por: Zhu, Guangyu, et al.
Publicado: (2022)

Thermal separation of soil particles from thermal conductivity measurement under various air pressures
por: Lu, Sen, et al.
Publicado: (2017)

Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning
por: Ren, Yiting, et al.
Publicado: (2023)

Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing
por: Gulenko, Oleksandra, et al.
Publicado: (2022)

Protein embeddings and deep learning predict binding residues for various ligand classes
por: Littmann, Maria, et al.
Publicado: (2021)

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities
por: Apostolopoulos, Ioannis D., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_8p5gb567tmctco34u7bd2gf42e