Cargando…

Applying deep learning-based multi-modal for detection of coronavirus

Amidst the global pandemic and catastrophe created by ‘COVID-19’, every research institution and scientist are doing their best efforts to invent or find the vaccine or medicine for the disease. The objective of this research is to design and develop a deep learning-based multi-modal for the screeni...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rani, Geeta, Oza, Meet Ganpatlal, Dhaka, Vijaypal Singh, Pradhan, Nitesh, Verma, Sahil, Rodrigues, Joel J. P. C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Special Issue Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294320/ https://www.ncbi.nlm.nih.gov/pubmed/34305327 http://dx.doi.org/10.1007/s00530-021-00824-3

Ejemplares similares

Comparative performance assessment of deep learning based image steganography techniques
por: Himthani, Varsha, et al.
Publicado: (2022)

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
por: Dhaka, Vijaypal Singh, et al.
Publicado: (2021)

A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs
por: Rani, Geeta, et al.
Publicado: (2022)

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review
por: Dhaka, Vijaypal Singh, et al.
Publicado: (2023)

Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
por: Hemrajani, Prashant, et al.
Publicado: (2023)

IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
por: Kundu, Nidhi, et al.
Publicado: (2021)

Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcare
por: Qureshi, Kashif Naseer, et al.
Publicado: (2021)

Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
por: Bhakar, Suman, et al.
Publicado: (2023)

DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning
por: Li, Qiaoliang, et al.
Publicado: (2020)

The use of mechanistic reasoning in assessing coronavirus interventions
por: Aronson, Jeffrey K., et al.
Publicado: (2020)

A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
por: Jackson, Christopher H, et al.
Publicado: (2022)

Variable routes to genomic and host adaptation among coronaviruses
por: Montoya, Vincent, et al.
Publicado: (2021)

Introduction to Machine Learning, Neural Networks, and Deep Learning
por: Choi, Rene Y., et al.
Publicado: (2020)

Investigating Sources of Conflict in Deep Phylogenomics of Vetigastropod Snails
por: Cunha, Tauana Junqueira, et al.
Publicado: (2021)

Keratoconus Screening Based on Deep Learning Approach of Corneal Topography
por: Kuo, Bo-I, et al.
Publicado: (2020)

Ophthalmologist-Level Classification of Fundus Disease With Deep Neural Networks
por: Jiang, Ping, et al.
Publicado: (2020)

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression
por: Thompson, Atalie C., et al.
Publicado: (2020)

Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning
por: Sun, Jian, et al.
Publicado: (2020)

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review
por: Yanagihara, Ryan T., et al.
Publicado: (2020)

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms
por: Christopher, Mark, et al.
Publicado: (2020)

Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning
por: Lo, Julian, et al.
Publicado: (2020)

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography
por: Heisler, Morgan, et al.
Publicado: (2020)

Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy
por: Tseng, Vincent S., et al.
Publicado: (2020)

Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection
por: Van Craenendonck, Toon, et al.
Publicado: (2020)

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks
por: Heslinga, Friso G., et al.
Publicado: (2020)

Which deep learning model can best explain object representations of within-category exemplars?
por: Lee, Dongha
Publicado: (2021)

Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images
por: Ludwig, Cassie A., et al.
Publicado: (2020)

Shared decision‐making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters
por: Begley, Keith, et al.
Publicado: (2020)

Roving: The causes of interference and re-enabled learning in multi-task visual training
por: Dosher, Barbara Anne, et al.
Publicado: (2020)

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms
por: Son, Jaemin, et al.
Publicado: (2020)

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
por: Cheong, Haris, et al.
Publicado: (2020)

Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning
por: Li, Henry H., et al.
Publicado: (2020)

Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography
por: Kawczynski, Michael G., et al.
Publicado: (2020)

Deep Learning Model for Accurate Automatic Determination of Phakic Status in Pediatric and Adult Ultrasound Biomicroscopy Images
por: Le, Christopher, et al.
Publicado: (2020)

Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning
por: Guo, Yukun, et al.
Publicado: (2020)

Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP
por: Wang, Yi-Zhong, et al.
Publicado: (2020)

Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study
por: Xu, Benjamin Y., et al.
Publicado: (2020)

Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks
por: Galdran, Adrian, et al.
Publicado: (2020)

A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs
por: Fu, Huazhu, et al.
Publicado: (2020)

Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images
por: Li, Zhongwen, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_h5s5uj7hng1pnod3v2jermfcep