Unsupervised chest X-ray opacity classification using minimal deep features
Data privacy has been a concern in medical imaging research. One important step to minimize the sharing of patient’s information is by limiting the use of original images in the workflow. This research aimed to use minimal deep learning features in detecting anomaly in chest X-ray (CXR) images. A to...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/97427/7/97408_A%20method%20for%20preserving%20battery%20life.pdf http://irep.iium.edu.my/97427/ https://thesai.org/Downloads/Volume13No3/Paper_32-Unsupervised_Chest_X_ray_Opacity_Classification.pdf |
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