OVASO: Integrated binary CNN models to classify COVID‐19, pneumonia and healthy lung in X‐ray images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22742
Abstract: Several radiologists have paid attention to computer‐aided detection (CAD) systems which assist in classifying diseases on chest x‐ray (CXR). Recently, with the outbreak of COVID‐19, CAD based on deep learning has an important role in… read more here.
Keywords: integrated binary; ray; models classify; cnn models ... See more keywords
Prediction of activity cliffs on the basis of images using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computer-Aided Molecular Design"
DOI: 10.1007/s10822-021-00380-y
Abstract: An activity cliff (AC) is formed by a pair of structurally similar compounds with a large difference in potency. Accordingly, ACs reveal structure–activity relationship (SAR) discontinuity and provide SAR information for compound optimization. Herein, we… read more here.
Keywords: acs; convolutional neural; cnn models; prediction activity ... See more keywords
Assisting the Visually Impaired in Multi-object Scene Description Using OWA-Based Fusion of CNN Models
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04799-7
Abstract: Advances in technology can provide a lot of support for visually impaired (VI) persons. In particular, computer vision and machine learning can provide solutions for object detection and recognition. In this work, we propose a… read more here.
Keywords: visually impaired; assisting visually; based fusion; cnn models ... See more keywords
RS-DeepSuperLearner: fusion of CNN ensemble for remote sensing scene classification
Sign Up to like & getrecommendations! Published in 2023 at "Annals of GIS"
DOI: 10.1080/19475683.2023.2165544
Abstract: ABSTRACT Scene classification is an important problem in remote sensing (RS) and has attracted a lot of research in the past decade. Nowadays, most proposed methods are based on deep convolutional neural network (CNN) models,… read more here.
Keywords: scene classification; cnn; cnn models; deepsuperlearner ... See more keywords
Use of deep learning in forensic sex estimation of virtual pelvic models from the Han population
Sign Up to like & getrecommendations! Published in 2022 at "Forensic Sciences Research"
DOI: 10.1080/20961790.2021.2024369
Abstract: Abstract Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP),… read more here.
Keywords: estimation virtual; sex; cnn models; deep learning ... See more keywords
Land classification in satellite images by injecting traditional features to CNN models
Sign Up to like & getrecommendations! Published in 2022 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2023.2167057
Abstract: ABSTRACT Deep learning methods have been successfully applied to remote-sensing problems for several years. Among these methods, CNN-based models have high accuracy in solving the land classification problem using satellite or aerial images. Although these… read more here.
Keywords: accuracy; injecting traditional; cnn models; land classification ... See more keywords
Compression of Convolutional Neural Networks With Divergent Representation of Filters.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3201846
Abstract: Convolutional neural networks (CNNs) have made remarkable achievements in many tasks. However, most of them are hardly applied to embedded systems directly because of the requirement of huge memory space and computing power. In this… read more here.
Keywords: compression convolutional; neural networks; networks divergent; divergent representation ... See more keywords
CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images
Sign Up to like & getrecommendations! Published in 2018 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-018-0529-x
Abstract: BackgroundEarly and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especially… read more here.
Keywords: non nodules; cnn models; nodules non; pulmonary micro ... See more keywords
Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1081050
Abstract: Introduction Bees capable of performing floral sonication (or buzz-pollination) are among the most effective pollinators of blueberries. However, the quality of pollination provided varies greatly among species visiting the flowers. Consequently, the correct identification of… read more here.
Keywords: recognition; bee species; data augmentation; pollinating bee ... See more keywords
A Transfer Residual Neural Network Based on ResNet-50 for Detection of Steel Surface Defects
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095260
Abstract: With the increasing popularity of deep learning, enterprises are replacing traditional inefficient and non-robust defect detection methods with intelligent recognition technology. This paper utilizes TL (transfer learning) to enhance the model’s recognition performance by integrating… read more here.
Keywords: transfer residual; neural network; residual neural; detection ... See more keywords
An Ensemble of CNN Models for Parkinson’s Disease Detection Using DaTscan Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12051173
Abstract: Parkinson’s Disease (PD) is a progressive central nervous system disorder that is caused due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible for the decline of various motor… read more here.
Keywords: ensemble cnn; datscan images; parkinson disease; using datscan ... See more keywords