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A review on identification of atrial septal defect using deep learning
2022
Multidisciplinary Journal for Applied Research in Engineering and Technology
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Echocardiogram, Chest X-ray, Electrocardiogram (ECG), Cardiac catheterization, MRI, and CT scan may all be used to detect the abnormality. ...
The goal of this review paper is first to provide an insight into ASD, the methods for diagnosis, the application of deep learning models for distinguishing the defect, defect detection accuracy and algorithm ...
using human interpretations. ...
doi:10.54228/mjaret02220002
fatcat:aegpaegfyjebhgxhe4voqiyqn4
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
2021
PeerJ Computer Science
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They also improve predictive accuracy for early and timely disease detection using medical imaging and audio analysis. ...
Chronic Obstructive Pulmonary detection. ...
, detection of Asthma based on lung sounds etc. ...
doi:10.7717/peerj-cs.369
pmid:33817019
pmcid:PMC7959628
fatcat:m3jhg5gqrvb73fw7q442ubsu5u
Development of Classification Methods for Wheeze and Crackle Using Mel Frequency Cepstral Coefficient (MFCC): A Deep Learning Approach
2020
International Journal on Perceptive and Cognitive Computing
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The most common method used by physicians and pulmonologists to evaluate the state of the lung is by listening to the acoustics of the patient's breathing by a stethoscope. ...
Results show 0.76 and 0.60 for recall for wheeze and crackle respectively, these number are set to increase with optimization. ...
These two acoustics plus a combination of these two can be useful in detecting early-stage lung disease. ...
doi:10.31436/ijpcc.v6i2.166
fatcat:zt37ijiysjeyfbos6axdfct44e
Urban Auscultation; or, Perceiving the Action of the Heart
2020
Places
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As physicians monitor the rattle of afflicted lungs, the rest of us listen for acoustic cues that our city is convalescing, that we’ve turned inward to prevent transmission. ...
sound samples of well-behaved machines, while others listen across a wide array of systems, identify anomalies, and then invite human engineers to help them analyze and classify the aberrant sounds. ...
doi:10.22269/200428
fatcat:geixsfzvlvb3fi63abl2f6uu3a
Reversal to air-driven sound production revealed by a molecular phylogeny of tongueless frogs, family Pipidae
2011
BMC Evolutionary Biology
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Sound production plays a central role in the behavior of frogs, which use their calls to delimit territories and attract mates. ...
sound production mechanism independent of air movement. ...
of the calling male to females, detected by their lateral line system. ...
doi:10.1186/1471-2148-11-114
pmid:21524293
pmcid:PMC3111386
fatcat:myizbbqgbfddrbsdg3bzhgz46y
Applied Imagery Pattern Recognition 2011
2011
2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
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For instance, visual psychologists have shown that most of us trained art scholars and artists included-are not particularly good at judging perspective or the location of illumination in a photograph, ...
Again and again, we see that for some problems these computer methods are more sensitive, more perceptive, than even a trained artist or art historian, at least for a handful of problems. ...
, texture analysis has become one of the quantitative attributes used extensively in seismic studies fo r target detection and interpretation of subsurface anomalies, such as moisture content and landmines ...
doi:10.1109/aipr.2011.6176381
fatcat:7bbefbxrnnfjvdtun4zixrckjy
Opportunities for automated inference with data in tomorrow's communication networks and services
2009
Bell Labs technical journal
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Novel ways for inference with data can uncover the knowledge contained in these massive data streams and archives, and provide many opportunities for enhancing the systems and services. ...
We discuss example uses of automated inference with data along these themes, and highlight the challenges and opportunities to be addressed by continuous research. ...
Acknowledgements We thank Jin Cao, Aiyou Chen, Patricia Scanlon, and Francis Zane for sharing many details and insights from their work. Jin and Aiyou also kindly provided the plots in Figure 2 . ...
doi:10.1002/bltj.20397
fatcat:jkubonfrsbbxbn4i7gcznep65u
Fractional diffusion on the human proteome as an alternative to the multi-organ damage of SARS-CoV-2
2020
Chaos
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The coronavirus 2019 (COVID-19) respiratory disease is caused by the novel coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), which uses the enzyme ACE2 to enter human cells. ...
However, not every organ in which ACE2 is abundant is affected by SARS-CoV-2, which suggests the existence of other multi-organ routes for transmitting the perturbations produced by the virus. ...
., α = 1, not always uses the shortest (topological) paths. ...
doi:10.1063/5.0015626
pmid:32872802
pmcid:PMC7585451
fatcat:wox22oy6v5di7p4cnx2zcbce5u
Developing a decision-theoretic network for a congenital heart disease
[chapter]
1997
Lecture Notes in Computer Science
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To support paediatric cardiologists in prognostic assessment and treatment planning, a decision-theoretic network for congenital heart disease is being constructed. ...
The network is built in collaboration with a domain expert, using modelling methods commonly advocated in the literature. ...
The authors wish to thank Linda van der Gaag and Peter Lucas for many useful comments on earlier drafts of this paper. ...
doi:10.1007/bfb0029448
fatcat:gws3yezanvb75furn2od6gdll4
Genetics and congenital heart disease: Perspectives and prospects
1989
Journal of the American College of Cardiology
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who first investigated systematically and rigorously (from 1,000 personal cases) the pathology of such anomalies. ...
Recent dramatic advances in the molecular biology of transcription and its variations and the prospects for sequencing the entire human genome must not induce complacency; the major task of determining ...
resonance imaging may well detect relatives who have a clinically silent cardiovascular anomaly and, hence, are presumptively heterozygous for the same mutant gene as their more flagrantly affected family ...
doi:10.1016/0735-1097(89)90333-1
pmid:2656821
fatcat:3qgu3wxzkbdajbpckpf5ngv5mm
Fractal Geometry of Airway Remodeling in Human Asthma
2005
American Journal of Respiratory and Critical Care Medicine
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In this study fractal analysis was used to provide a relatively simple method for developing a quantitative index of airway wall remodeling in asthmatic and non-asthmatic airways. ...
Negative pressure silicone rubber casts of lungs were made using autopsy material from three groups: fatal asthma, non-fatal asthma and non-asthma control. All subjects were lifelong non-smokers. ...
Richard Leigh for their helpful suggestions in revising the manuscript, Artee Karkhanis for technical assistance and Marnie Cudmore for administrative assistance. ...
doi:10.1164/rccm.200411-1463oc
pmid:15976372
fatcat:mpdildnr7bevnf2s2a4mnyfxoi
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
[article]
2024
arXiv
pre-print
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vision pipelines (which are less straightforwardly interpretable/explainable to clinicians). ...
Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine ...
Diffusion Models for Medical Anomaly Detection 25 use a weakly supervised setup for generating healthy counterfactuals of brain tumor images. ...
arXiv:2401.01414v1
fatcat:coeh2s5wxjhsphvre33qtbohxq
Cognition, Construction and Culture: Visual Theories in the Sciences
2004
Journal of Cognition and Culture
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The existence of common features behind the diversity of visual representations suggests a common dynamical structure for visual thinking, showing how visual representations facilitate cognitive processes ...
such as pattern-matching and visual inference through the use of tools, technologies and other cultural resources. ...
Shadows are translated into sounds (Halls Dally 1903), achieving a 'natural congruence' between how things look and how they sound. ...
doi:10.1163/1568537042484896
fatcat:lnpe5wl6rzfsllptbbs2wbip4e
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities
2014
Medical Image Analysis
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Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care ...
For larger structures, it is shown that only multi-scale directional convolutional approaches that are non-separable allow for an unbiased modeling of 3-D biomedical textures. ...
the echo of emitted sound waves between 2 and 18 MHz. ...
doi:10.1016/j.media.2013.10.005
pmid:24231667
fatcat:6luivlhrtrdv5dlbh626ohkps4
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
2020
Database: The Journal of Biological Databases and Curation
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Precision medicine is one of the recent and powerful developments in medical care, which has the potential to improve the traditional symptom-driven practice of medicine, allowing earlier interventions using ...
Useful analytic tools, technologies, databases, and approaches are required to augment networking and interoperability of clinical, laboratory and public health systems, as well as addressing ethical and ...
Christopher Bonin for providing editorial support. ...
doi:10.1093/database/baaa010
pmid:32185396
pmcid:PMC7078068
fatcat:ypsuz5dewvcgtpjx4vjkhi545q
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