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A survey on generative adversarial networks for imbalance problems in computer vision tasks
2021
Journal of Big Data
Preserved Fulltext
, metallic surface defect detection, disaster prediction, etc., are inevitable. ...
In this paper, we examine the most recent developments of GANs based techniques for addressing imbalance problems in image data. ...
Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments and suggestions on the paper. ...
doi:10.1186/s40537-021-00414-0
pmid:33552840
pmcid:PMC7845583
fatcat:g3p6hbjuj5c5vbe23ms4g6ed6q
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection
[article]
2020
arXiv
pre-print
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the confidence-aware anomaly detection (CAAD) model, which consists of a shared feature extractor, an anomaly detection module, and a confidence prediction module. ...
Rapid and accurate detection of viral pneumonia using chest X-ray can be significantly useful in large-scale screening and epidemic prevention, particularly when other chest imaging modalities are less ...
Chest X-ray for pulmonary disease screening Chest X-ray is one of the most commonly used imaging modalities for visualizing and quantifying the structural and functional consequences of thoracic diseases ...
arXiv:2003.12338v4
fatcat:7vd5gjpqcrhipiloar2mk76bve
Advancing Energy Testing of Mobile Applications
2017
2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C)
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Cobweb is effective for detecting energy defects. ...
Table 5 .3 also shows the contribution of each class of energy-aware mutation operators for subject apps. ...
doi:10.1109/icse-c.2017.45
dblp:conf/icse/Jabbarvand17
fatcat:pa2fnnbrqjfzjpqaarzcc3nqjy
Viral Pneumonia Screening on Chest X-rays Using Confidence-Aware Anomaly Detection
2020
IEEE Transactions on Medical Imaging
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Rapid and accurate detection of viral pneumonia using chest X-rays can be of significant value for large-scale screening and epidemic prevention, particularly when other more sophisticated imaging modalities ...
We therefore propose the confidence-aware anomaly detection (CAAD) model, which consists of a shared feature extractor, an anomaly detection module, and a confidence prediction module. ...
Chest X-Ray for Pulmonary Disease Screening Chest X-ray is one of the most commonly used imaging modalities for visualizing and quantifying the structural and functional consequences of thoracic diseases ...
doi:10.1109/tmi.2020.3040950
pmid:33245693
fatcat:srekctmos5c5bmvvfu2waacasi
GCCE 2020 Subject Index
2020
2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)
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T U V W
Self-Attention Based Neural Network for Few Shot Classification
Self-Attention Based Neural Network for Few Shot Classification
Separation of Multiple Sound Sources in the Same Direction ...
by Instantaneous Spectral Estimation
Separation of Multiple Sound Sources in the Same Direction by Instantaneous Spectral Estimation
Sequence-To-One Neural Networks for Japanese Dialect Speech Classification ...
on Cascading Structure ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System Based on Cascading Structure Educational Games for Cybersecurity Awareness Educational Games for Cybersecurity ...
doi:10.1109/gcce50665.2020.9291796
fatcat:bmnnn7xnxrefhaneq262fe4i6u
A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection
2021
Computational and Mathematical Methods in Medicine
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The optic disc (OD) is the most commonly studied retinal structure for screening and diagnosing glaucoma. ...
This paper proposes a novel context aware deep learning framework called GD-YNet, for OD segmentation and glaucoma detection. ...
A disc-aware ensemble network (DENet) [39] is modeled as a binary classifier for glaucoma screening, guided by OD segmentation map. ...
doi:10.1155/2021/2921737
pmid:34777561
pmcid:PMC8589492
fatcat:3l3xxafkrvfc3edkwxsa5ftdle
Front Matter: Volume 11049
2019
International Workshop on Advanced Image Technology (IWAIT) 2019
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screen [11049-162]
11049 27
Automatic system for life-stage detection of drosophila with single animal resolution toward
high-throughput screening [11049-35]
vii
Proc. of SPIE Vol. 11049 1104901 ...
8K endoscope images 11049 0J Compact algorithm for noise level detection 11049 0K Consideration about preventing illegal film copy with re-shooting screen 11049 0L Development of a VR flood situation ...
doi:10.1117/12.2530762
fatcat:lwxupqdakfhtdjxznvtohfj7di
Retinal Image Analysis for Abnormality Detection-An Overview
2012
Journal of Computer Science
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for detection of abnormalities using Cellular Neural Network (CNN). ...
Unfortunately, in many cases, the patient is not aware any symptoms until it is too late for effective treatment. Diabetic retinopathy is the leading cause of blindness. ...
Early detection of DR through screening can prevent blindness and allow for maintenance of good vision. ...
doi:10.3844/jcssp.2012.436.442
fatcat:5znwsbvzhzcrhbwjpdal6iccfe
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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Cherukuri, V., +, TIP 2020 2552-2567
F
Fabrics
Multistage GAN for Fabric Defect Detection. ...
Soner, B., +, TIP 2020 4505-4515
Automatic optical inspection
Multistage GAN for Fabric Defect Detection. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Machine Learning Techniques for Ophthalmic Data Processing: A Review
2020
IEEE journal of biomedical and health informatics
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Machine learning approaches that use eye measurements and visual field data for glaucoma detection are also included in the survey. ...
This article reviews machine learning approaches proposed for diagnosing ophthalmic diseases during the last four years. ...
Screening for early detection and referral is the widely adopted strategy in practice for blindness prevention. ...
doi:10.1109/jbhi.2020.3012134
pmid:32750971
fatcat:f4mmjk2ferduzbkpza4hoizzjq
Automated detection of coarctation of aorta in neonates from two-dimensional echocardiograms
2017
Journal of Medical Imaging
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Current newborn screening methods to detect CoA lack both in sensitivity and specificity, and when suspected in a newborn, it must be confirmed using specialized imaging and expert diagnosis, both of which ...
We propose a framework that uses deep learning-based machine learning methods for fully automated detection of CoA from two-dimensional ultrasound clinical data acquired in the parasternal long axis view ...
Our results suggest that for purposes as a screening tool to detect critical congenital heart defects in the newborn, the use of these views may be very useful. ...
doi:10.1117/1.jmi.4.1.014502
pmid:28149925
pmcid:PMC5260631
fatcat:xhyy4f7pq5akrnn2vusaln2p3i
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function
2020
PLoS ONE
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In this work, we study the problem of automatically detecting presentation attacks against face authentication methods, considering the use-case of fast device unlocking and hardware constraints of mobile ...
Printouts can have visible printing defects, while low-quality liquid-crystal displays (LCD) can suffer from varying brightness levels throughout the screen. ...
As a baseline, we adapt the architecture to consider presentation-attack detection, formulating the problem as a 2-class classification, and using only aligned whole-face images for training the network ...
doi:10.1371/journal.pone.0238058
pmid:32886705
pmcid:PMC7473524
fatcat:vardxd4cuzdulkcyhvmqoz3aiq
Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals
2020
Sensors
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In experiments, MI location and detection were performed under both intra-patient scheme and inter-patient scheme to test the robustness of the proposed framework. ...
proposed to detect and locate MI via 12-lead ECG records. ...
Its ability to evaluate importance and contribution can be implemented not only for feature extraction, but also for multi-channel screening. ...
doi:10.3390/s20041020
pmid:32074979
pmcid:PMC7071130
fatcat:cpbomx6slrcv5lkuodp6oec7oi
Emerging Insights into the Roles of Membrane Tethers from Analysis of Whole Organisms: The Tip of an Iceberg?
2016
Frontiers in Cell and Developmental Biology
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In the future it will be important to better appreciate the network of interactions mediated by tethers and the potential co-ordination of their collective functions in vivo. ...
There are now a number of studies which have analyzed membrane tethers in tissues and organisms which are providing new insights into the role of this class of membrane protein at the physiological level ...
trafficking and Maintenance of Golgi
structure
Defective ciliogenesis, neonatal lethal skeletal
dysplasia achondrogenesis type 1A, early post-natal
lethality in mice
COG
8 subunits: COG1-8
Intra-Golgi ...
doi:10.3389/fcell.2016.00012
pmid:26973835
pmcid:PMC4770024
fatcat:rz5jfurld5fmjbg4tsznfbqnx4
Table of Contents
2020
2020 IEEE International Conference on Image Processing (ICIP)
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IMAGE AND VIDEO PROCESSING III TEC-05.1: A SIAMESE NETWORK UTILIZING IMAGE STRUCTURAL DIFFERENCES ........................................... 778 FOR CROSS-CATEGORY DEFECT DETECTION &KHQKXL /XDQ 5X\DR ...
6WDWHV COM-05.6: ON INTRA VIDEO CODING AND IN-LOOP FILTERING FOR NEURAL ..................................................1147 OBJECT DETECTION NETWORKS .ULVWLDQ )LVFKHU &KULVWLDQ +HUJORW] $QGUp .DXS ) ...
CODED-APERTURE FOR UNSUPERVISED CLASSIFICATION OF HYPERSEPCTRAL IMAGERY -LDQFKHQ =KX 7RQJ =KDQJ 6KHQJMLH =KDR 7RQJML 8QLYHUVLW\ &KLQD
IMT-02.4: ADMM-INSPIRED RECONSTRUCTION NETWORK FOR COMPRESSIVE ...
doi:10.1109/icip40778.2020.9191006
fatcat:3fkxl2sjmre2jkryewwo5mlahi
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