Using DICOM Tags for Clustering Medical Radiology Images into Visually Similar Groups-Reference-Cited by-同舟云学术

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Using DICOM Tags for Clustering Medical Radiology Images into Visually Similar Groups

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods
language:
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Author:

Manojlović Teo¹,Ilić Dino¹,Miletić Damir²,Štajduhar Ivan¹

Affiliation:

1. University of Rijeka, Faculty of Engineering, Department of Computer Engineering, Vukovarska 58, 51000 Rijeka, Croatia, --- Select a Country ---

2. University of Rijeka, Clinical Hospital Centre Rijeka, Clinical Department for Radiology, Krešimirova 42, 51000, Rijeka, Croatia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forming of Validation Dataset for Deep Learning Based Model of Medical Image Grouping;Medical Imaging and Computer-Aided Diagnosis;2023

2. Using Autoencoders to Reduce Dimensionality of DICOM Metadata;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

3. Deep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images;Diagnostics;2021-10-17

4. Efficient Clustering of Unlabeled Brain DICOM Images based on similarity;Journal of Physics: Conference Series;2021-05-01

5. Analysing Large Repositories of Medical Images;Bioengineering and Biomedical Signal and Image Processing;2021

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