Abstrakt

Challenging Semantic Concept for Systemic Component of CBIR

Tohid Aribi

Advances in medical imaging have led to growth in large image collections. we are conducting research on CBIR for biomedical images. We maintain an archive of over 17,000 digitized x-rays of the cervical and lumbar spine from the second National Health and Nutrition Examination Survey (NHANES II). In addition, we are developing an archive of a large number of digitized 35mm color slides of the uterine cervix. Our research focuses on developing techniques for hybrid text/image query-retrieval from the survey text and image data. In this paper we present the challenges in developing CBIR of biomedical images and results from our research efforts.

Indiziert in

Chemical Abstracts Service (CAS)
Google Scholar
Open J Gate
Academic Keys
ResearchBible
The Global Impact Factor (GIF)
CiteFactor
Kosmos IF
Elektronische Zeitschriftenbibliothek
RefSeek
Hamdard-Universität
Weltkatalog wissenschaftlicher Zeitschriften
IndianScience.in
Gelehrter
Publons
International Innovative Journal Impact Factor (IIJIF)
Internationales Institut für organisierte Forschung (I2OR)
Kosmos

Mehr sehen