XMIAR: X-ray medical image annotation and retrieval

• Main Authors: Abdulrazzaq, M. M., Alshaikhli, Imad Fakhri Taha, Mohd Noah, Shahrul Azman, Fadhil, M. A., Ashour, M. U.
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: Springer Verlag 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/76758/2/2020_Bookmatter_AdvancesInComputerVision.pdf; http://irep.iium.edu.my/76758/1/10.1007%40978-3-030-17798-051.pdf; http://irep.iium.edu.my/76758/13/76758_XMIAR%20X-ray%20medical%20image%20annotation_SCOPUS.pdf; http://irep.iium.edu.my/76758/; https://link.springer.com/book/10.1007/978-3-030-17798-0

The huge development of the digitized medical image has been steered to the enlargement and research of the Content Based Image Retrieval (CBIR) systems. Those systems retrieve and extract the images by their own low level features, like texture, shape and color. But those visual features did...