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

S. Letizia Digiovanni; Cataldo Guaragnella; Maria Rizzi; Maddalena Falagario

doi:10.1109/RTSI.2016.7740564

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

S. Letizia Digiovanni, Cataldo Guaragnella, Maria Rizzi, Maddalena Falagario

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509011315
DOIs	https://doi.org/10.1109/RTSI.2016.7740564
Publication status	Published - 2016 Nov 9
Externally published	Yes
Event	2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 - Bologna, Italy Duration: 2016 Sept 7 → 2016 Sept 9

Conference

Conference	2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
Country/Territory	Italy
City	Bologna
Period	2016/09/07 → 2016/09/09

Subject classification (UKÄ)

Radiology, Nuclear Medicine and Medical Imaging

Free keywords

cervical cancer
colposcopy
computer aided detection and diagnosis
health care smart health
signal processing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/RTSI.2016.7740564

Cite this

Digiovanni, S. L., Guaragnella, C., Rizzi, M., & Falagario, M. (2016). Healthcare system: A digital green filter for smart health early cervical cancer diagnosis. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 Article 7740564 IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTSI.2016.7740564

@inproceedings{874b9ea130d64058bd4ef77f9c5cef1e,

title = "Healthcare system: A digital green filter for smart health early cervical cancer diagnosis",

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.",

keywords = "cervical cancer, colposcopy, computer aided detection and diagnosis, health care smart health, signal processing",

author = "Digiovanni, {S. Letizia} and Cataldo Guaragnella and Maria Rizzi and Maddalena Falagario",

year = "2016",

month = nov,

day = "9",

doi = "10.1109/RTSI.2016.7740564",

language = "English",

booktitle = "2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 ; Conference date: 07-09-2016 Through 09-09-2016",

}

Digiovanni, SL, Guaragnella, C, Rizzi, M & Falagario, M 2016, Healthcare system: A digital green filter for smart health early cervical cancer diagnosis. in 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016., 7740564, IEEE - Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016, Bologna, Italy, 2016/09/07. https://doi.org/10.1109/RTSI.2016.7740564

Healthcare system: A digital green filter for smart health early cervical cancer diagnosis. / Digiovanni, S. Letizia; Guaragnella, Cataldo; Rizzi, Maria et al.
2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. 7740564.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Healthcare system

T2 - 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016

AU - Digiovanni, S. Letizia

AU - Guaragnella, Cataldo

AU - Rizzi, Maria

AU - Falagario, Maddalena

PY - 2016/11/9

Y1 - 2016/11/9

N2 - 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.

AB - 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.

KW - cervical cancer

KW - colposcopy

KW - computer aided detection and diagnosis

KW - health care smart health

KW - signal processing

UR - http://www.scopus.com/inward/record.url?scp=85005982719&partnerID=8YFLogxK

U2 - 10.1109/RTSI.2016.7740564

DO - 10.1109/RTSI.2016.7740564

M3 - Paper in conference proceeding

AN - SCOPUS:85005982719

BT - 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

Y2 - 7 September 2016 through 9 September 2016

ER -

Digiovanni SL, Guaragnella C, Rizzi M, Falagario M. Healthcare system: A digital green filter for smart health early cervical cancer diagnosis. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016. IEEE - Institute of Electrical and Electronics Engineers Inc. 2016. 7740564 doi: 10.1109/RTSI.2016.7740564

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

Abstract

Conference

Subject classification (UKÄ)

Free keywords

UN SDGs

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