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Emphysema classification based on embedded probabilistic PCA
2013
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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In this article we investigate the suitability of a manifold learning technique to classify different types of emphysema based on embedded Probabilistic PCA (PPCA). ...
A quantitative comparison with a texture-based approach based on Local Binary Patterns and with an approach based on local intensity distributions shows that our method is competitive. ...
In this article we propose a novel approach to classify different patterns of emphysema based on a probabilistic interpretation of the manifold in which each pattern is embedded. ...
doi:10.1109/embc.2013.6610414
pmid:24110601
pmcid:PMC3918501
dblp:conf/embc/Zulueta-Coarasa13
fatcat:k2vsnw7uq5dpnf5ty3ch7vnclq
Extended Gabor approach applied to classification of emphysematous patterns in computed tomography
2014
Medical and Biological Engineering and Computing
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In this paper, we propose a new emphysema classification framework based on complex Gabor filters and local binary patterns. ...
The results have shown the effectiveness of our approach for quantifying lesions due to emphysema and that the combination of descriptors yields to a better classification performance. ...
Also in [29] , the dataset was used with a technique based on an embedded probabilistic PCA that resulted in a precision of 69 %. ...
doi:10.1007/s11517-014-1139-9
pmid:24496558
pmcid:PMC4254807
fatcat:zcpwrrmxpndorktquidak7g2pa
Inferring Disease Status by Non-parametric Probabilistic Embedding
[chapter]
2017
Lecture Notes in Computer Science
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We validate our method on a large-scale lung CT scan study and demonstrate the state-of-the-art prediction on an important physiologic measure of airflow (the forced expiratory volume in one second, FEV1 ...
A common method to compute similarities is based on image registration. Gerber et al. ...
Even 2D embedding captures the structure of the disease; subjects on the bottom right are healthier than subjects on top left of the embedding space. ...
doi:10.1007/978-3-319-61188-4_5
fatcat:gjy5pqnrqzanjcajwko77ikspa
Feature Extraction and Classification Methods for Lung Sounds
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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It is a major challenge to analyze and differentiate the type of pulmonary disorder based on lung sounds. ...
All the discussed methods automatically recognise the different types of lung sounds and pulmonary disorder based on features extracted from recorded lung sounds. ...
Methods based on spectral analysis Literature [25] classified LS captured from emphysema, asthma, fibrosis alveolitis and healthy subjects by using Self Organizing Maps (SOM) based on FFT spectra. ...
doi:10.35940/ijitee.a8100.1110120
fatcat:lo6527eji5gmzgmjxvlm5qwf6a
Proceedings 16th International Conference on Pattern Recognition
2002
Object recognition supported by user interaction for service robots
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Ding A Robust Algorithm for Probabilistic Human Recognition from Video 226 Multiresolution Block Sampling-Based Method for Texture Synthesis 239 Y. Yu, J. Luo, and C. ...
Bloch On the Classification of Temporal Lobe Epilepsy Using MR Image Appearance 520 S. Duchesne. N. Bernasconi, A. Bernasconi, and D. ...
doi:10.1109/icpr.2002.1044572
fatcat:3yvquccps5aqdmizmzyhbkybwi
Diagnosis of Chronic Obstructive Pulmonary Disease Based on Transfer Learning
2020
IEEE Access
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Given the limited data samples available in current COPD studies, we propose a method for diagnosing COPD based on transfer learning called balanced probability distribution (BPD) algorithm; this algorithm ...
integrates instance-and feature-based transfers to improve the prediction accuracy of the model. ...
In fact, there are other methods, such as principal component analysis (PCA), t-distributed neighborhood embedding (t-SNE), and singular value decomposition (SVD), which can achieve the goal of feature ...
doi:10.1109/access.2020.2979218
fatcat:3carn5ebnbcxzhchmdbwu4gyu4
Front Matter: Volume 6915
2008
Medical Imaging 2008: Computer-Aided Diagnosis
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The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. ...
The CID number appears on each page of the manuscript. The complete citation is used on the first page, and an abbreviated version on subsequent pages. ...
Maidment, Univ. of Pennsylvania (USA)
SESSION 3
COLON CAD
6915 0B
Automated matching of supine and prone colonic polyps based on PCA and SVMs
[6915-01]
S. Wang, R. L. Van Uitert, R. M. ...
doi:10.1117/12.797938
dblp:conf/micad/X08
fatcat:ofuszodznnbhdjgavmgo26tugi
A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary Nodules
2021
Diagnostics
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In this work, we investigated the potential impact of radiomics on indeterminate prevalent pulmonary nodule (PN) characterization and risk stratification in subjects undergoing LDCT-based LC screening. ...
), and in particular for sub-solid lesions, as non-solid versus part-solid (second-level classification). ...
Compared to PCA, t-SNE is not a linear algebra technique, but it is based on a probabilistic framework. ...
doi:10.3390/diagnostics11091610
pmid:34573951
fatcat:l6mbxbw3xreffpy4223e24oepa
Intelligent Pneumonia Identification from Chest X-Rays: A Systematic Literature Review
2021
IEEE Access
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A better classification performance can be obtained based on the MSFE when compared with that obtained based on the MSE [41] ; however, the improvement is only minor [35] [40] . ...
), and kernel PCA (KPCA). ...
doi:10.1109/access.2021.3069937
fatcat:yzvzg2ywxrae3ba3egot63oryi
Method development of glycoprotein biomarkers for cancers
2017
Bioanalysis
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Conclusion: Combining multiplatform metabolic phenotyping with knowledge-based mapping gives mechanistic insights into disease development, which can be applied to next-generation tobacco and nicotine ...
For instance one of the NMR profiles gives the comprehensive information on lipoprotein subfractions while RP UPLC-MS is optimum for the individual lipid species that are embedded in many of the different ...
Top perturbed pathways based on impact and -log 2 (p-value) are labeled on the graph. The -log 2 (p-value) is the enrichment score. ...
doi:10.4155/bio-2017-0077
pmid:28644045
fatcat:qiae7o5ukzgibl6vyrhswsqeqi
Multiplatform serum metabolic phenotyping combined with pathway mapping to identify biochemical differences in smokers
2016
Bioanalysis
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Conclusion: Combining multiplatform metabolic phenotyping with knowledge-based mapping gives mechanistic insights into disease development, which can be applied to next-generation tobacco and nicotine ...
For instance one of the NMR profiles gives the comprehensive information on lipoprotein subfractions while RP UPLC-MS is optimum for the individual lipid species that are embedded in many of the different ...
Top perturbed pathways based on impact and -log 2 (p-value) are labeled on the graph. The -log 2 (p-value) is the enrichment score. ...
doi:10.4155/bio-2016-0108
pmid:27635669
fatcat:fbjfuavcdzeslbxlas24j3nujm
A survey on computational intelligence approaches for predictive modeling in prostate cancer
2017
Expert systems with applications
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These advanced approaches are based on mathematical models that have been especially developed for dealing with the uncertainty and imprecision which is typically found in clinical and biological datasets ...
approaches, and hybrids of these, as well as Bayesian based approaches, and Markov models. ...
Naive Bayesian Classifier Naive Bayesian classification is based on Bayesian theorem of posterior probability. ...
doi:10.1016/j.eswa.2016.11.006
fatcat:ii6gbq6qcbai5kxvcy4l7kkg54
Involvement of Machine Learning Tools in Healthcare Decision Making
2021
Journal of Healthcare Engineering
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Reaching to its peak now the concern is being diverted towards treating patients not only based on the type of disease but also their genetics, which is known as precision medicine. ...
In addition, patient care, resource allocation, and research on treatments for various diseases are also being performed using machine learning-based computational decision making. ...
can be obtained based on PCA and genetic algorithm (GA). ...
doi:10.1155/2021/6679512
pmid:33575021
pmcid:PMC7857908
fatcat:tkjpjybmife4vhugy4gq3f2tiy
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey
2021
International Journal of Molecular Sciences
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In this sense, learning tools are becoming a commodity but, to be able to assist doctors on a daily basis, it is essential to fully understand how models can be interpreted. ...
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this revolution. ...
To identify them, a three-stage protocol is implemented: (i) the SNPs are selected using a gradient boosting classification technique: XGBoost; (ii) based on the XGBoost output data, an adaptive iterative ...
doi:10.3390/ijms22094394
pmid:33922356
fatcat:z3mxbx7fajge7pkyrp2odlauz4
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
[article]
2021
arXiv
pre-print
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Despite the remarkable performance of deep learning methods on various tasks, most cutting-edge models rely heavily on large-scale annotated training examples, which are often unavailable for clinical ...
[117] introduced a probabilistic image estimated by computing the pixel-wise empirical proportion of each class based on aligned ground truth label fields of the training images. ...
While principal component analysis (PCA) based statistical shape model (SSM) [30] was widely adopted by traditional segmentation methods, it is not straightforward to combine SSM with deep networks. ...
arXiv:2103.00429v1
fatcat:p44a5e34sre4nasea5kjvva55e
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