Title :
Variable-rate, lossy, tree-structured codes and digital radiography
Author :
Olshen, Richard A.
Author_Institution :
Div. of Biostatistics, Stanford Univ. Sch. of Med., CA, USA
Abstract :
The author surveys binary tree-structured methods for clustering as they apply to predictive, pruned, tree-structured vector quantization (predictive PTSVQ). Much of the material concerns applications of PTSVQ to the lossy coding of digital medical images, especially CT and MR chest scans. There is a brief introduction to the asymptotic properties of the algorithms and to an attempt to understand variability and covariability of amino acids in the V3 loop region of HIV
Keywords :
biomedical NMR; computerised tomography; diagnostic radiography; image coding; medical image processing; variable rate codes; vector quantisation; CT scans; HIV; MR chest scan; V3 loop region; amino acids; asymptotic properties; binary tree-structured methods; clustering; covariability; digital medical images; digital radiography; lossy codes; predictive pruned tree-structured vector quantization; tree-structured codes; variability; variable-rate codes; Amino acids; Biomedical imaging; Bit rate; Clustering algorithms; Computed tomography; Human immunodeficiency virus; Image coding; Partitioning algorithms; Pixel; Radiography;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513859
