Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted
in the creation of image databases, as well as picture archiving and communication systems …

Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that
requires experience and is subject to substantial interreader variability. Purpose To …

This paper describes the methodology used to create a multimedia collection of cases with
interstitial lung diseases (ILDs) at the University Hospitals of Geneva. The dataset contains …

Our goal is to enhance the ability to differentiate normal lung from subtle pathologies via
multidetector row CT (MDCT) by extending a two-dimensional (2-D) texturebased tissue …

OBJECTIVE: We investigate the influence of the clinical context of high-resolution computed
tomography (HRCT) images of the chest on tissue classification. METHODS AND …

Computer-aided diagnosis of masses in mammograms is important to the prevention of
breast cancer. Many approaches tackle this problem through content-based image retrieval …

In this paper, we take advantage of single-valued functions that evaluate rankings to
develop a family of feature selection methods based on the genetic algorithm approach …

Risk prediction requires comprehensive integration of clinical information and concurrent
radiological findings. We present an upgraded chest radiograph (CXR) explainable artificial …

Medical Imaging Informatics provides an overview of this growing discipline, which stems
from an intersection of biomedical informatics, medical imaging, computer science and …