The medical image retrieval plays an important role in medical diagnosis where a physician
can retrieve most similar images from template images against a query image of a particular …

In content-based image retrieval (CBIR) applications, each database needs its
corresponding parameter setting for feature extraction. However, most of the CBIR systems …

A new algorithm for medical image retrieval is presented in the paper. An 8-bit grayscale
image is divided into eight binary bit-planes, and then binary wavelet transform (BWT) which …

This paper describes a computer-aided detection and diagnosis system for breast cancer,
the most common form of cancer among women, using mammography. The system relies on …

In this paper, a clustering method using dictionary learning is proposed to group large
medical databases. An approach grouping similar images into clusters that are sparsely …

A novel multiple-instance learning framework, for automated image classification, is
presented in this paper. Given reference images marked by clinicians as relevant or …

Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

This paper proposes a new method of content based medical image retrieval through
considering fused, context-sensitive similarity. Firstly, we fuse the semantic and visual …

Recently, several pattern recognition methods have been proposed to automatically
discriminate between patients with and without Alzheimer's disease using different imaging …

Adaptive wavelet-based image characterizations have been proposed in previous works for
content-based image retrieval (CBIR) applications. In these applications, the same wavelet …