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Material Type: Article
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Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopyComputers in biology and medicine, 2021-12, Vol.139, p.105015-105015, Article 105015 [Peer Reviewed Journal]2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105015 ;PMID: 34800808Full text available |
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The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity featuresNeuroImage (Orlando, Fla.), 2018-09, Vol.178, p.622-637 [Peer Reviewed Journal]2018 Elsevier Inc. ;Copyright © 2018 Elsevier Inc. All rights reserved. ;2018. Elsevier Inc. ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2018.06.001 ;PMID: 29870817Full text available |
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Deep Learning to Improve Breast Cancer Detection on Screening MammographyScientific reports, 2019-08, Vol.9 (1), p.12495-12, Article 12495 [Peer Reviewed Journal]2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-48995-4 ;PMID: 31467326Full text available |
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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerJAMA cardiology, 2017-12, Vol.318 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2380-6583 ;EISSN: 2380-6591 ;DOI: 10.1001/jama.2017.14585Digital Resources/Online E-Resources |
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Material Type: Article
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Sine-SSA-BP Ship Trajectory Prediction Based on Chaotic Mapping Improved Sparrow Search AlgorithmSensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.704 [Peer Reviewed Journal]2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23020704 ;PMID: 36679503Full text available |
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Material Type: Article
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Deep learning based tissue analysis predicts outcome in colorectal cancerScientific reports, 2018-02, Vol.8 (1), p.3395-11, Article 3395 [Peer Reviewed Journal]2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-21758-3 ;PMID: 29467373Full text available |
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome predictionThe Lancet (British edition), 2019-09, Vol.394 (10201), p.861-867 [Peer Reviewed Journal]2019 Elsevier Ltd ;Copyright © 2019 Elsevier Ltd. All rights reserved. ;2019. Elsevier Ltd ;ISSN: 0140-6736 ;EISSN: 1474-547X ;DOI: 10.1016/S0140-6736(19)31721-0 ;PMID: 31378392Full text available |
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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic studyThe lancet oncology, 2019-07, Vol.20 (7), p.938-947 [Peer Reviewed Journal]2019 Elsevier Ltd ;Copyright © 2019 Elsevier Ltd. All rights reserved. ;2019. Elsevier Ltd ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1470-2045 ;ISSN: 1474-5488 ;EISSN: 1474-5488 ;DOI: 10.1016/S1470-2045(19)30333-X ;PMID: 31201137Full text available |
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Material Type: Article
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Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasetsNature communications, 2020-08, Vol.11 (1), p.4080-4080, Article 4080 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17971-2 ;PMID: 32796848Full text available |
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Material Type: Article
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Multi-strategy assisted chaotic coot-inspired optimization algorithm for medical feature selection: A cervical cancer behavior risk studyComputers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106239-106239, Article 106239 [Peer Reviewed Journal]2022 Elsevier Ltd ;Copyright © 2022 Elsevier Ltd. All rights reserved. ;2022. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.106239 ;PMID: 36335810Full text available |
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11 |
Material Type: Article
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Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion OptimizerComputers in biology and medicine, 2021-12, Vol.139, p.104968-104968, Article 104968 [Peer Reviewed Journal]2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104968 ;PMID: 34735947Full text available |
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Material Type: Article
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Can machine-learning improve cardiovascular risk prediction using routine clinical data?PloS one, 2017-04, Vol.12 (4), p.e0174944-e0174944 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Weng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Weng et al 2017 Weng et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0174944 ;PMID: 28376093Full text available |
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Material Type: Article
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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataPloS one, 2012-07, Vol.7 (7), p.e39932-e39932 [Peer Reviewed Journal]COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Glaab et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Glaab et al. 2012 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0039932 ;PMID: 22808075Full text available |
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Material Type: Article
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Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarkerNeuroImage (Orlando, Fla.), 2017-12, Vol.163, p.115-124 [Peer Reviewed Journal]2017 ;Copyright © 2017. Published by Elsevier Inc. ;Copyright Elsevier Limited Dec 2017 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2017.07.059 ;PMID: 28765056Full text available |
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Material Type: Article
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Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMANeuroImage (Orlando, Fla.), 2020-09, Vol.218, p.116956-116956, Article 116956 [Peer Reviewed Journal]2020 The Author(s) ;Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved. ;2020. The Author(s) ;ISSN: 1053-8119 ;ISSN: 1095-9572 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2020.116956 ;PMID: 32470572Full text available |
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Material Type: Article
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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasetsThe Lancet (British edition), 2021-01, Vol.397 (10270), p.199-207 [Peer Reviewed Journal]2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0140-6736 ;EISSN: 1474-547X ;DOI: 10.1016/S0140-6736(20)32519-8 ;PMID: 33453782Full text available |
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Material Type: Article
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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signalsComputers in biology and medicine, 2018-09, Vol.100, p.270-278 [Peer Reviewed Journal]2017 Elsevier Ltd ;Copyright © 2017 Elsevier Ltd. All rights reserved. ;2017. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2017.09.017 ;PMID: 28974302Full text available |
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Material Type: Article
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Evaluation of variable selection methods for random forests and omics data setsBriefings in bioinformatics, 2019-03, Vol.20 (2), p.492-503 [Peer Reviewed Journal]The Author 2017. Published by Oxford University Press. 2017 ;The Author 2017. Published by Oxford University Press. ;ISSN: 1477-4054 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbx124 ;PMID: 29045534Full text available |
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Material Type: Article
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The perception of naturalness correlates with low-level visual features of environmental scenesPloS one, 2014-12, Vol.9 (12), p.e114572-e114572 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Berman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Berman et al 2014 Berman et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0114572 ;PMID: 25531411Full text available |
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Material Type: Article
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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing InfrastructureScientific reports, 2018-09, Vol.8 (1), p.13650-17, Article 13650 [Peer Reviewed Journal]2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-31911-7 ;PMID: 30209345Full text available |