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Healthcare system : A digital green filter for smart health early cervical cancer diagnosis

Digiovanni, S. Letizia; Guaragnella, Cataldo; Rizzi, Maria and Falagario, Maddalena LU (2016) 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 In 2016 IEEE 2nd 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:
author
publishing date
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
in
2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
publisher
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
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
2017-01-01 08:44:52
@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},
  keyword      = {cervical cancer,colposcopy,computer aided detection and diagnosis,health care smart health,signal processing},
  language     = {eng},
  month        = {11},
  publisher    = {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},
  year         = {2016},
}