We analyze the nature of the relevance feedback problem in a continuous representation
space in the context of content-based image retrieval. Emphasis is put on exploring the …

Distance measures like the Euclidean distance are used to measure similarity between
images in content-based image retrieval. Such geometric measures implicitly assign more …

A content-based image retrieval (CBIR) framework for diverse collection of medical images
of different imaging modalities, anatomic regions with different orientations and biological …

This paper describes a new method for classifying pigmented skin lesions as benign or
malignant. The skin lesion images are acquired with standard cameras, and our method can …

Foundation models pretrained on large-scale datasets are revolutionizing the field of
computational pathology (CPath). The generalization ability of foundation models is crucial …

In a Content-based Image Retrieval (CBIR) System, the task is to retrieve similar images
from a large database given a query image. The usual procedure is to extract some useful …

The work proposed in this paper is motivated by the need to develop powerful models and
approaches to classify and learn proportional data. Indeed, an abundance of interesting …

Recent years have witnessed a number of studies on distance metric learning to improve
visual similarity search in content-based image retrieval (CBIR). Despite their successes …

In order to distinguish between benign and malignant types of pigmented skin lesions,
computerized procedures have been developed for images taken by different equipment …

This paper gives an overview of the various available image databases and ways of
searching these databases on image contents. The developments in research groups of …