抽象的

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.

索引于

化学文摘社 (CAS)
谷歌学术
打开 J 门
学术钥匙
研究圣经
全球影响因子 (GIF)
引用因子
宇宙IF
电子期刊图书馆
参考搜索
哈姆达大学
世界科学期刊目录
印度科学网
学者指导
普布隆斯
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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