๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Synthesis of texture from clinical images

โœ Scribed by D.S Brettle; E Berry; M.A Smith


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
859 KB
Volume
21
Category
Article
ISSN
0262-8856

No coin nor oath required. For personal study only.

โœฆ Synopsis


Psychophysical tests are a major tool in medical imaging for accessing a persons performance in viewing medical images. Tests that use clinical images are preferred as the results are more representative of the clinical task but these require large numbers of images and accurate definition of the gold standard. In this paper methods for synthesising clinical textures were evaluated. One non-parametric method was found to be more suitable although clinical samples were difficult to synthesise. A modification, based on sample reordering was developed. Results are presented showing the success of this approach for a range of clinical images and modalities. This may help facilitate psychophysical experiments where anatomical background noise is to be considered.


๐Ÿ“œ SIMILAR VOLUMES


Texture based segmentation of epithelial
โœ M. Muthu Rama Krishnan; Anirudh Choudhary; Chandan Chakraborty; Ajoy K. Ray; Ran ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 916 KB

The objective of this paper is to provide a texture based segmentation algorithm for better delineation of the epithelial layer from histological images in discriminating normal and oral sub-mucous fibrosis (OSF). As per literature and oral clinicians, it is established that the OSF initially origin

Affine invariant classification and retr
โœ Jianguo Zhang; Tieniu Tan ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 710 KB

In this paper, we propose a new method of extracting a ne invariant texture signatures for content-based a ne invariant image retrieval (CBAIR). The algorithm discussed in this paper exploits the spectral signatures of texture images. Based on spectral representation of a ne transform, anisotropic s