Abstract
The usefulness of applying digital processing to eye-fundus images in order to obtain an accurate temporal monitoring of the pathology under examination is evaluated. In particular, an automatic segmentation algorithm that makes it possible to extract specific features for the pathology and then to characterize it in terms of dimensional parameters is presented. Some results for a case of type-2 Hayreh vasculity are reported and discussed.
| Original language | English |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Publisher | Publ by Alliance for Engineering in Medicine & Biology |
| Pages | 376-377 |
| Number of pages | 2 |
| Volume | 11 pt 2 |
| Publication status | Published - 1989 |
| Event | Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 - Seattle, WA, USA Duration: Nov 9 1989 → Nov 12 1989 |
Other
| Other | Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 |
|---|---|
| City | Seattle, WA, USA |
| Period | 11/9/89 → 11/12/89 |
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ASJC Scopus subject areas
- Bioengineering
- Engineering(all)
Cite this
Monitoring of retinic structure alterations by digital image analysis. / Parodi, Maurizio Battaglia; Giusto, Daniele D.
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 11 pt 2 Publ by Alliance for Engineering in Medicine & Biology, 1989. p. 376-377.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Monitoring of retinic structure alterations by digital image analysis
AU - Parodi, Maurizio Battaglia
AU - Giusto, Daniele D.
PY - 1989
Y1 - 1989
N2 - The usefulness of applying digital processing to eye-fundus images in order to obtain an accurate temporal monitoring of the pathology under examination is evaluated. In particular, an automatic segmentation algorithm that makes it possible to extract specific features for the pathology and then to characterize it in terms of dimensional parameters is presented. Some results for a case of type-2 Hayreh vasculity are reported and discussed.
AB - The usefulness of applying digital processing to eye-fundus images in order to obtain an accurate temporal monitoring of the pathology under examination is evaluated. In particular, an automatic segmentation algorithm that makes it possible to extract specific features for the pathology and then to characterize it in terms of dimensional parameters is presented. Some results for a case of type-2 Hayreh vasculity are reported and discussed.
UR - http://www.scopus.com/inward/record.url?scp=0024899766&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0024899766&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0024899766
VL - 11 pt 2
SP - 376
EP - 377
BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PB - Publ by Alliance for Engineering in Medicine & Biology
ER -