Unsupervised chest X-ray opacity classification using minimal deep features

• Main Authors: Che Azemin, Mohd Zulfaezal, Mohd Tamrin, Mohd Izzuddin, Md. Ali, Mohd. Adli, Jamaludin, Iqbal
• Format: Article
• Language: English
• Published: Science and Information Organization 2022
• Subjects: RC731 Specialties of Internal Medicine-Diseases of The Respiratory System; TK7885 Computer engineering
• 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

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...