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.

Healthcare system: A digital green filter for smart health early cervical cancer diagnosis / Digiovanni, S. Letizia; Guaragnella, Cataldo; Rizzi, Maria; Falagario, Maddalena. - (2016), pp. 101-106. (Intervento presentato al convegno 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 tenutosi a Bologna, Italy nel September 7-9, 2016) [10.1109/RTSI.2016.7740564].

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

GUARAGNELLA, Cataldo;RIZZI, Maria;
2016-01-01

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.
2016
2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
978-1-5090-1131-5
Healthcare system: A digital green filter for smart health early cervical cancer diagnosis / Digiovanni, S. Letizia; Guaragnella, Cataldo; Rizzi, Maria; Falagario, Maddalena. - (2016), pp. 101-106. (Intervento presentato al convegno 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 tenutosi a Bologna, Italy nel September 7-9, 2016) [10.1109/RTSI.2016.7740564].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/92931
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