Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks

Código QR

Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks

Guardado en:

Detalles Bibliográficos
Autores principales:	Yitan Zhu, Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/73c4d02e5c51427789680731bb6ebbcf
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Converting tabular data into images for deep learning with convolutional neural networks
por: Yitan Zhu, et al.
Publicado: (2021)

Deep Convolutional Neural Network Ensembles Using ECOC
por: Sara Atito Ali Ahmed, et al.
Publicado: (2021)

The communicability of graphical alternatives to tabular displays of statistical simulation studies.
por: Alex R Cook, et al.
Publicado: (2011)

Deep convolutional neural networks for accurate somatic mutation detection
por: Sayed Mohammad Ebrahim Sahraeian, et al.
Publicado: (2019)

Coastal Waste Detection Based on Deep Convolutional Neural Networks
por: Chengjuan Ren, et al.
Publicado: (2021)

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

Fully automatic wound segmentation with deep convolutional neural networks
por: Chuanbo Wang, et al.
Publicado: (2020)

Identification of natural selection in genomic data with deep convolutional neural network
por: Arnaud Nguembang Fadja, et al.
Publicado: (2021)

Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection
por: Chao-Ching Ho, et al.
Publicado: (2021)

Deep Convolutional Neural Networks for Tea Tree Pest Recognition and Diagnosis
por: Jing Chen, et al.
Publicado: (2021)

Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks
por: Fabio Lopes, et al.
Publicado: (2021)

Hyperspectral Unmixing Based on Spectral and Sparse Deep Convolutional Neural Networks
por: Lulu Wan, et al.
Publicado: (2021)

Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion
por: Cheng-Hong Yang, et al.
Publicado: (2021)

Robust feature space separation for deep convolutional neural network training
por: Ali Sekmen, et al.
Publicado: (2021)

Deep Convolutional Neural Network with KNN Regression for Automatic Image Annotation
por: Ramla Bensaci, et al.
Publicado: (2021)

Calcification, storm damage and population resilience of tabular corals under climate change.
por: Joshua S Madin, et al.
Publicado: (2012)

Based on improved deep convolutional neural network model pneumonia image classification.
por: Lingzhi Kong, et al.
Publicado: (2021)

Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network
por: Luciene Sales Dagher Arce, et al.
Publicado: (2021)

Crack recognition automation in concrete bridges using Deep Convolutional Neural Networks
por: Zoubir Hajar, et al.
Publicado: (2021)

Deep convolutional neural networks to predict cardiovascular risk from computed tomography
por: Roman Zeleznik, et al.
Publicado: (2021)

Quantitative salivary gland SPECT/CT using deep convolutional neural networks
por: Junyoung Park, et al.
Publicado: (2021)

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification
por: Matej Gazda, et al.
Publicado: (2021)

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
por: Mohsen Ghafoorian, et al.
Publicado: (2017)

Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
por: Hirotoshi Takiyama, et al.
Publicado: (2018)

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

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
por: Andres Anaya-Isaza, et al.
Publicado: (2021)

Intrusion Detection System Based on Fast Hierarchical Deep Convolutional Neural Network
por: Robson V. Mendonca, et al.
Publicado: (2021)

Based on improved deep convolutional neural network model pneumonia image classification
por: Lingzhi Kong, et al.
Publicado: (2021)

Publisher Correction: Limits to visual representational correspondence between convolutional neural networks and the human brain
por: Yaoda Xu, et al.
Publicado: (2021)

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
por: Yan Zhang, et al.
Publicado: (2018)

DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
por: Hongyang Li, et al.
Publicado: (2021)

Automatic Interferogram Selection for SBAS-InSAR Based on Deep Convolutional Neural Networks
por: Yufang He, et al.
Publicado: (2021)

Plum Ripeness Analysis in Real Environments Using Deep Learning with Convolutional Neural Networks
por: Rolando Miragaia, et al.
Publicado: (2021)

Bangladeshi Native Vehicle Classification Based on Transfer Learning with Deep Convolutional Neural Network
por: Md Mahibul Hasan, et al.
Publicado: (2021)

Using Deep Convolutional Neural Networks and Infrared Thermography to Identify Coal Quality and Gangue
por: Refat Mohammed Abdullah Eshaq, et al.
Publicado: (2021)

Low-dose x-ray tomography through a deep convolutional neural network
por: Xiaogang Yang, et al.
Publicado: (2018)

Improvement of the model of object recognition in aero photographs using deep convolutional neural networks
por: Vadym Slyusar, et al.
Publicado: (2021)

Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN).
por: Maleika Heenaye-Mamode Khan, et al.
Publicado: (2021)

A multi-task convolutional deep neural network for variant calling in single molecule sequencing
por: Ruibang Luo, et al.
Publicado: (2019)

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study
por: Pei Yang, et al.
Publicado: (2021)