Abstract Content-Based Medical Image Retrieval is used to extract meaningful information
from a large number of medical images. To extract image texture characteristics, a novel …

In this work, we take advantage of association rule mining to support two types of medical
systems: the Content-based Image Retrieval (CBIR) systems and the Computer-Aided …

Content-Based Image Retrieval (CBIR) refers to techniques that retrieve images based on
their content, as opposed to based on metadata. A CBIR system performs indexing and …

Tuberculosis (TB) is an infectious disease caused by mycobacterium which can be
diagnosed by its various symptoms like fever, cough, etc. Tuberculosis can also be analyzed …

Dengan meningkatnya ancaman terhadap keamanan siber, sistem deteksi intrusi (IDS)
berbasis Machine Learning (ML) menjadi semakin penting untuk mendeteksi dan …

Abstract Content Based Image retrieval systems (CBIR) retrieve the image features from the
massive databases using the retrival set [15]. The Extracted image set will be maintained in …

Chest X-ray (CXR) image view information can help to improve and strengthen a computer-
aided-diagnosis (CAD) system. The goal of this work is to develop a deep-learning model …

Digital images are now the basis of visual information in medical applications. The advent of
radiology which employs imaging for diagnosis generates great amount of images …

Digital imaging has revolutionized the field of medical imaging and has led to the
development of sophisticated computer hardware technologies and specialized software …

Abstract Content Based Image Retrieval (CBIR) for medical imageries is still in its early
stage. There are many challenging research issues. Retrieve similar images only is the …