Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Deep semantic segmentation of natural and medical images: a reviewThe Artificial intelligence review, 2021, Vol.54 (1), p.137-178 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09854-1Full text available |
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2 |
Material Type: Article
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Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image SegmentationIEEE transactions on fuzzy systems, 2019-09, Vol.27 (9), p.1753-1766 [Peer Reviewed Journal]ISSN: 1063-6706 ;EISSN: 1941-0034 ;DOI: 10.1109/TFUZZ.2018.2889018 ;CODEN: IEFSEVDigital Resources/Online E-Resources |
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3 |
Material Type: Article
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationIEEE transactions on pattern analysis and machine intelligence, 2019-07, Vol.41 (7), p.1559-1572 [Peer Reviewed Journal]ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2018.2840695 ;PMID: 29993532 ;CODEN: ITPIDJDigital Resources/Online E-Resources |
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4 |
Material Type: Article
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Deep learning approaches to biomedical image segmentationInformatics in medicine unlocked, 2020, Vol.18, p.100297, Article 100297 [Peer Reviewed Journal]2020 The Authors ;ISSN: 2352-9148 ;EISSN: 2352-9148 ;DOI: 10.1016/j.imu.2020.100297Full text available |
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Material Type: Article
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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationIEEE journal of biomedical and health informatics, 2022-05, Vol.26 (5), p.2252-2263 [Peer Reviewed Journal]info:eu-repo/semantics/openAccess ;ISSN: 2168-2194 ;ISSN: 2168-2208 ;EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2021.3138024 ;PMID: 34941539 ;CODEN: IJBHA9Digital Resources/Online E-Resources |
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6 |
Material Type: Article
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FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationIEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.9375-9388info:eu-repo/semantics/openAccess ;ISSN: 2162-237X ;ISSN: 2162-2388 ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2022.3159394 ;PMID: 35333723 ;CODEN: ITNNALDigital Resources/Online E-Resources |
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7 |
Material Type: Article
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Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine TuningIEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1562-1573ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2018.2791721 ;PMID: 29969407 ;CODEN: ITMID4Digital Resources/Online E-Resources |
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Material Type: Conference Proceeding
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Semi-Supervised Semantic Segmentation with Cross-Consistency Training2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/CVPR42600.2020.01269Digital Resources/Online E-Resources |
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9 |
Material Type: Article
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Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar imagesIET computer vision, 2015-10, Vol.9 (5), p.629-638 [Peer Reviewed Journal]ISSN: 1751-9632 ;EISSN: 1751-9640 ;DOI: 10.1049/iet-cvi.2014.0295Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and SegmentationIEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.384-395ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2743464 ;PMID: 28961105 ;CODEN: ITMID4Digital Resources/Online E-Resources |
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11 |
Material Type: Article
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NAS-Unet: Neural Architecture Search for Medical Image SegmentationIEEE access, 2019, Vol.7, p.44247-44257 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2908991 ;CODEN: IAECCGFull text available |
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12 |
Material Type: Article
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Research on Edge Detection Method Based on Improved HED NetworkJournal of physics. Conference series, 2020-08, Vol.1607 (1), p.12068 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1607/1/012068Full text available |
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13 |
Material Type: Article
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Otsu Image Threshold Segmentation Method Based on Seagull Optimization AlgorithmJournal of physics. Conference series, 2020-10, Vol.1650 (3), p.32181 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1650/3/032181Full text available |
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14 |
Material Type: Article
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The characteristics of bamboo image extraction as an environmentally friendly materialJournal of physics. Conference series, 2020-06, Vol.1567 (3), p.32035 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1567/3/032035Full text available |
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15 |
Material Type: Article
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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image SegmentationIEEE transactions on medical imaging, 2022-06, Vol.41 (6), p.1320-1330ISSN: 0278-0062 ;ISSN: 1558-254X ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2021.3139161 ;PMID: 34965206 ;CODEN: ITMID4Digital Resources/Online E-Resources |
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16 |
Material Type: Article
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Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimizationComputers in biology and medicine, 2022-07, Vol.146, p.105618-105618, Article 105618 [Peer Reviewed Journal]2022 Elsevier Ltd ;Copyright © 2022 Elsevier Ltd. All rights reserved. ;2022. Elsevier Ltd ;2022 Elsevier Ltd. All rights reserved. 2022 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.105618 ;PMID: 35690477Full text available |
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17 |
Material Type: Article
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Modality specific U-Net variants for biomedical image segmentation: a surveyThe Artificial intelligence review, 2022-10, Vol.55 (7), p.5845-5889 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;The Author(s), under exclusive licence to Springer Nature B.V. 2022. ;COPYRIGHT 2022 Springer ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10152-1 ;PMID: 35250146Full text available |
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18 |
Material Type: Article
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Research Advance in Deep Learning Image Segmentation AlgorithmsJournal of physics. Conference series, 2021-09, Vol.2037 (1), p.12022 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2037/1/012022Full text available |
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19 |
Material Type: Article
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Oil Spill Identification from Satellite Images Using Deep Neural NetworksRemote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1762 [Peer Reviewed Journal]2019. This work is licensed under https://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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11151762Full text available |
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20 |
Material Type: Article
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Towards a guideline for evaluation metrics in medical image segmentationBMC research notes, 2022-06, Vol.15 (1), p.1-210, Article 210 [Peer Reviewed Journal]COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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) 2022 ;ISSN: 1756-0500 ;EISSN: 1756-0500 ;DOI: 10.1186/s13104-022-06096-y ;PMID: 35725483Full text available |