Cargando…

EM-stellar: benchmarking deep learning for electron microscopy image segmentation

MOTIVATION: The inherent low contrast of electron microscopy (EM) datasets presents a significant challenge for rapid segmentation of cellular ultrastructures from EM data. This challenge is particularly prominent when working with high-resolution big-datasets that are now acquired using electron to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khadangi, Afshin, Boudier, Thomas, Rajagopal, Vijay
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Original Papers
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034537/ https://www.ncbi.nlm.nih.gov/pubmed/33416852 http://dx.doi.org/10.1093/bioinformatics/btaa1094

Ejemplares similares

CardioVinci: building blocks for virtual cardiac cells using deep learning
por: Khadangi, Afshin, et al.
Publicado: (2022)

Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data
por: Khadangi, Afshin, et al.
Publicado: (2019)

Benchmark for multi-cellular segmentation of bright field microscopy images
por: Zaritsky, Assaf, et al.
Publicado: (2013)

Deep-Learning-Based Segmentation of Small Extracellular Vesicles in Transmission Electron Microscopy Images
por: Gómez-de-Mariscal, Estibaliz, et al.
Publicado: (2019)

Benchmarking Deep Learning Models for Tooth Structure Segmentation
por: Schneider, L., et al.
Publicado: (2022)

Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
por: Kar, Anuradha, et al.
Publicado: (2022)

Classifying and segmenting microscopy images with deep multiple instance learning
por: Kraus, Oren Z., et al.
Publicado: (2016)

UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images
por: Urakubo, Hidetoshi, et al.
Publicado: (2019)

3D fluorescence microscopy data synthesis for segmentation and benchmarking
por: Eschweiler, Dennis, et al.
Publicado: (2021)

Weighted average ensemble-based semantic segmentation in biological electron microscopy images
por: Shaga Devan, Kavitha, et al.
Publicado: (2022)

Test-time augmentation for deep learning-based cell segmentation on microscopy images
por: Moshkov, Nikita, et al.
Publicado: (2020)

Stellar structure and stellar atmospheres
por: Chandrasekhar, Subrahmanyan
Publicado: (1989)

A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images
por: Nasser, Lamees, et al.
Publicado: (2019)

Deep Consensus, a deep learning-based approach for particle pruning in cryo-electron microscopy
por: Sanchez-Garcia, Ruben, et al.
Publicado: (2018)

Benchmark of Deep Learning models
por: Terko, Afan
Publicado: (2021)

A deep learning-based algorithm for 2-D cell segmentation in microscopy images
por: Al-Kofahi, Yousef, et al.
Publicado: (2018)

Stellar physics: stellar evolution and stability
por: Bisnovatyi-Kogan, G S
Publicado: (2002)

‘Cryo-EM’: electron cryomicroscopy, cryo electron microscopy or something else?
por: Henderson, Richard, et al.
Publicado: (2023)

Deep Learning Based Instance Segmentation of Titanium Dioxide Particles in the Form of Agglomerates in Scanning Electron Microscopy
por: Monchot, Paul, et al.
Publicado: (2021)

A deep learning approach to identifying immunogold particles in electron microscopy images
por: Jerez, Diego, et al.
Publicado: (2021)

Stellar Physics: 2: Stellar Evolution and Stability
por: Bisnovatyi-Kogan, Gennady S
Publicado: (2011)

Deep learning in TMVA Benchmarking Benchmarking TMVA DNN Integration of a Deep Autoencoder
por: Huwiler, Marc
Publicado: (2017)

Author Correction: Test-time augmentation for deep learning-based cell segmentation on microscopy images
por: Moshkov, Nikita, et al.
Publicado: (2021)

A workflow for the automatic segmentation of organelles in electron microscopy image stacks
por: Perez, Alex J., et al.
Publicado: (2014)

Benchmarking the ideal sample thickness in cryo-EM
por: Martynowycz, Michael W., et al.
Publicado: (2021)

Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search
por: Zhu, Yanming, et al.
Publicado: (2021)

Multi-class segmentation of neuronal structures in electron microscopy images
por: Cetina, Kendrick, et al.
Publicado: (2018)

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification
por: Yildirim, Batuhan, et al.
Publicado: (2021)

Navigating 3D electron microscopy maps with EM-SURFER
por: Esquivel-Rodríguez, Juan, et al.
Publicado: (2015)

DeepRes: a new deep-learning- and aspect-based local resolution method for electron-microscopy maps
por: Ramírez-Aportela, Erney, et al.
Publicado: (2019)

ColorEM: analytical electron microscopy for element-guided identification and imaging of the building blocks of life
por: Pirozzi, Nicole M., et al.
Publicado: (2018)

Partial Scanning Transmission Electron Microscopy with Deep Learning
por: Ede, Jeffrey M., et al.
Publicado: (2020)

The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images
por: Mohanty, Sharada Prasanna, et al.
Publicado: (2022)

Stellar limits on scalars from electron-nucleus bremsstrahlung
por: Bottaro, Salvatore, et al.
Publicado: (2023)

Neutrino-electron elastic scattering and stellar evolution (In Russian)
por: Domogatsky, G V, et al.
Publicado: (1970)

DeepACSON automated segmentation of white matter in 3D electron microscopy
por: Abdollahzadeh, Ali, et al.
Publicado: (2021)

Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes
por: Franco-Barranco, Daniel, et al.
Publicado: (2021)

Deep neural network automated segmentation of cellular structures in volume electron microscopy
por: Gallusser, Benjamin, et al.
Publicado: (2022)

A unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies
por: Zhang, Xiaoya, et al.
Publicado: (2018)

Elba Meeting on Stellar Ecology : Advances in Stellar Evolution
por: Rood, R T, et al.
Publicado: (1997)

Cannot write session to /tmp/vufind_sessions/sess_p5u70jfuho6vskrtjhf8ogqve8