Neural network-assisted effective lossy compression of medical images

 
see the original item page
in the repository's web site and access all digital files if the item*
share




1996 (EN)
Neural network-assisted effective lossy compression of medical images (EN)

Panagiotidis, NG (EN)
Stafylopatis, A (EN)
Kalogeras, D (EN)
Kollias, SD (EN)

N/A (EN)

A neural network architecture is proposed and shown to be very effective in performing lossy compression of medical images. A novel ROI-JPEG technique is introduced as the coding platform, in which the neural architecture adoptively selects regions of interest (ROI's) in the images. By letting the selected ROI's be coded with high quality, in contrast to the rest of image areas, high compression ratios are achieved, while retaining the significant (from medical point of view) image content. The performance of the method is illustrated by means of experimental results in real life problems taken from pathology and telemedicine applications. © 1996 IEEE. (EN)

journalArticle

Neural Network (EN)
Point of View (EN)
Region of Interest (EN)
Lossy Compression (EN)
Medical Image (EN)
Compression Ratio (EN)

Εθνικό Μετσόβιο Πολυτεχνείο (EL)
National Technical University of Athens (EN)

Proceedings of the IEEE (EN)

1996


IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (EN)



*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)