Three-dimensional computerized characterization of biomedical solid textures is key to large-
scale and high-throughput screening of imaging data. Such data increasingly become …

Recently, with the advent of Metaverse and AI Generated Content, cross-modal retrieval
becomes popular with a burst of 2D and 3D data. However, this problem is challenging …

The ADHD-200 Global Competition provides an excellent opportunity for building diagnostic
classifiers of Attention-Deficit/Hyperactivity Disorder (ADHD) based on resting-state …

Abstract Information retrieval algorithms have changed the way we manage and use various
data sources, such as images, music or multimedia collections. First, free text information of …

Content-based image retrieval systems for-D medical datasets still largely rely on-D image-
based features extracted from a few representative slices of the image stack. Most-D …

Neuroimaging has played an important role in non-invasive diagnosis and differentiation of
neurodegenerative disorders, such as Alzheimer's disease and Mild Cognitive Impairment …

Positron emission tomography (PET) plays an important role in neurodegenerative disorder
diagnosis and neurooncology applications, especially detecting the early metabolism …

Content Based Image Retrieval (CBIR) systems retrieve brain images from that database
which are similar to the query image. CBIR is the application of computer vision. That has …

摘要基于内容的医学图像检索方法是**年来计算机视觉领域的研究热点, 已经广泛应用于计算机
辅助诊断的研究中. 概述了基于内容的医学图像检索方法的研究进展及意义 …

Medical imaging has learnt itself well into modern medicine and revolutionized medical
industry in the last 30 years. Stemming from the discovery of X-ray by Nobel laureate …