Healthcare system : A digital green filter for smart health early cervical cancer diagnosis
(2016) 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016- Abstract
A color conversion digital filter is implemented which represents a block of a medical imaging system able to assist gynecologists during colposcopic image analysis is presented. The conceived tool is a monitoring system in the field smart health; in fact an early diagnosis could improve the quality of life and the life expectancy of patients. Tree different digital green filters are conceived and the obtained performance are evaluated adopting a histogram based characterization. The presented digital filter makes colposcopic examination faster because the filtered image is not captured but automatically obtained through the implemented tool.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/874b9ea1-30d6-4058-bd4e-f77f9c5cef1e
- author
- Digiovanni, S. Letizia ; Guaragnella, Cataldo ; Rizzi, Maria and Falagario, Maddalena LU
- publishing date
- 2016-11-09
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- cervical cancer, colposcopy, computer aided detection and diagnosis, health care smart health, signal processing
- host publication
- 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
- article number
- 7740564
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
- conference location
- Bologna, Italy
- conference dates
- 2016-09-07 - 2016-09-09
- external identifiers
-
- scopus:85005982719
- ISBN
- 9781509011315
- DOI
- 10.1109/RTSI.2016.7740564
- language
- English
- LU publication?
- no
- id
- 874b9ea1-30d6-4058-bd4e-f77f9c5cef1e
- date added to LUP
- 2016-12-30 08:58:20
- date last changed
- 2022-02-21 23:15:26
@inproceedings{874b9ea1-30d6-4058-bd4e-f77f9c5cef1e, abstract = {{<p>A color conversion digital filter is implemented which represents a block of a medical imaging system able to assist gynecologists during colposcopic image analysis is presented. The conceived tool is a monitoring system in the field smart health; in fact an early diagnosis could improve the quality of life and the life expectancy of patients. Tree different digital green filters are conceived and the obtained performance are evaluated adopting a histogram based characterization. The presented digital filter makes colposcopic examination faster because the filtered image is not captured but automatically obtained through the implemented tool.</p>}}, author = {{Digiovanni, S. Letizia and Guaragnella, Cataldo and Rizzi, Maria and Falagario, Maddalena}}, booktitle = {{2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016}}, isbn = {{9781509011315}}, keywords = {{cervical cancer; colposcopy; computer aided detection and diagnosis; health care smart health; signal processing}}, language = {{eng}}, month = {{11}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Healthcare system : A digital green filter for smart health early cervical cancer diagnosis}}, url = {{http://dx.doi.org/10.1109/RTSI.2016.7740564}}, doi = {{10.1109/RTSI.2016.7740564}}, year = {{2016}}, }