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Neural network-assisted effective lossy compression of medical images
This item is provided by the institution :
National Technical University of Athens
Repository :
Digital Library of National Technical University of Athens | Dspace@NTUA
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ΕΚΤ item type
Journal part
(EN)
Scientific article
(EN)
EKT year
1996
(EN)
EKT historical period
Title
Neural network-assisted effective lossy compression of medical images (EN)
Creator
Panagiotidis, NG (EN)
Stafylopatis, A (EN)
Kalogeras, D (EN)
Kollias, SD (EN)
Description
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)
Type
journalArticle (EN)
Subject
Neural Network (EN)
Point of View (EN)
Engineering, Electrical & Electronic (EN)
Region of Interest (EN)
Lossy Compression (EN)
Medical Image (EN)
Compression Ratio (EN)
Provider
National Technical University of Athens
Repository / collection
Digital Library of National Technical University of Athens | Dspace@NTUA
Subcollections
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
Ιδρυματικό Αποθετήριο
Δημοσιεύσεις μελών Δ.Ε.Π. σε περιοδικά
Journal
Proceedings of the IEEE (EN)
Language
English
Issued
1996 (EN)
Identifier
http://hdl.handle.net/123456789/11957
0018-9219 (EN)
1487 (EN)
ISI:A1996VK62400009 (EN)
1474 (EN)
10.1109/5.537112 (EN)
84 (EN)
10 (EN)
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (EN)
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