Filters








6,645 Hits in 3.0 sec

A survey on generative adversarial networks for imbalance problems in computer vision tasks

Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín, Aitor Gutierrez
2021 Journal of Big Data  
, 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]

Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxin Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
2020 arXiv   pre-print
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

Reyhaneh Jabbarvand, Sam Malek
2017 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C)  
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

Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
2020 IEEE Transactions on Medical Imaging  
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)  
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

S. Sankar Ganesh, G. Kannayeram, Alagar Karthick, M. Muhibbullah, Luminita Moraru
2021 Computational and Mathematical Methods in Medicine  
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

Phooi Yee Lau, Kazuya Hayase, Qian Kemao, Wen-Nung Lie, Yung-Lyul Lee, Sanun Srisuk, Lu Yu
2019 International Workshop on Advanced Image Technology (IWAIT) 2019  
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

A.
2012 Journal of Computer Science  
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  
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

Mhd Hasan Sarhan, Mohammad Ali Nasseri, Daniel Zapp, Mathias Maier, Chris Lohmann, Nassir Navab, Abouzar Eslami
2020 IEEE journal of biomedical and health informatics  
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

Franklin Pereira, Alejandra Bueno, Andrea Rodriguez, Douglas Perrin, Gerald Marx, Michael Cardinale, Ivan Salgo, Pedro del Nido
2017 Journal of Medical Imaging  
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

Waldir R. Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Ricardo da S. Torres, Jacques Wainer, Anderson Rocha, He Debiao
2020 PLoS ONE  
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

Lidan Fu, Binchun Lu, Bo Nie, Zhiyun Peng, Hongying Liu, Xitian Pi
2020 Sensors  
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?

Wei Hong Toh, Paul A. Gleeson
2016 Frontiers in Cell and Developmental Biology  
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)  
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
« Previous Showing results 1 — 15 out of 6,645 results