Ovarian Cancer Detection by an Electronic Nose - Revision history

MatteoMatteucci at 22:59, 3 April 2012

2012-04-03T22:59:49Z

AlessandroMariaMauri at 18:02, 5 January 2011

2011-01-05T18:02:30Z

AlessandroMariaMauri at 13:55, 14 October 2010

2010-10-14T13:55:17Z

AlessandroMariaMauri: New page: {{Project |title=Ovarian Cancer Detection by an Electronic Nose |short_descr=The project aims at evaluating the possibility of diagnosing ovarian cancer using an electronic nose, already u...

2010-10-14T13:48:09Z

New page: {{Project |title=Ovarian Cancer Detection by an Electronic Nose |short_descr=The project aims at evaluating the possibility of diagnosing ovarian cancer using an electronic nose, already u...

New page

{{Project
|title=Ovarian Cancer Detection by an Electronic Nose
|short_descr=The project aims at evaluating the possibility of diagnosing ovarian cancer using an electronic nose, already used with success in the lung cancer detection ( [[Lung Cancer Detection by an Electronic Nose]] ).
|coordinator=AndreaBonarini; MatteoMatteucci
|tutor=RossellaBlatt;
|students=AlessandroMariaMauri; NiccoloMoretti
|restopic=Early cancer detection
|start=2009/10/01
|status=Active
|level=Ms
|type=Course
}}
The electronic nose is an instrument able to detect and recognize odors, that is the volatile substances in the atmosphere or emitted by the analyzed substance. This device can react to a gas substance by providing signals that can be analyzed to classify the input. It is composed of a sensor array (MOS sensors, in our case) and a pattern classification process based on machine learning techniques. Each sensor reacts in a different way to the analyzed substance, providing multidimensional data that can be considered as a unique olfactory blueprint of the analyzed substance. In our work, we used an array composed of six Metal Oxide Semiconductor (MOS) sensors.
In this project, we have been using an electronic nose based on an array of six MOS sensors, to recognize the presence of lung cancer in breaths' subjects, diagnosing the disease with a non invasive and low cost method.

← Older revision		Revision as of 18:02, 5 January 2011
Line 28:		Line 28:
	=== Progress ===		=== Progress ===

−	At this moment we ~~are still taking samples~~.	+	==Acquisition phase==
		+
		+	In 23 days 29 samples were acquired, 16 sick and 13 sane.
		+	Only one type(either sane or sick) was acquired per day (due to problems related to the "rarity" of ovarian cancer) and this could bring some problems in the next phase, even if the only features used will be the one called EOS, that should be independent to time.
		+	Moreover the acquisition of samples coming from sane subjects was done mainly at the beginning of the project (2009) while samples coming from sick subjects have been taken for the biggest part after spring 2010.
		+	Analysing the response of the 6 MOS sensors for every acquisition no anomaly were discovered, so it is possibile to use all the samples.
		+	No blinds were acquired.
		+
		+	==Data analysis phase==
		+
		+	In progress..
		+	At the moment good results have been achieved, but they will not published yet because we're probably victim of overfitting.

@@ Line 6: / Line 6: @@
 |restopic=Early cancer detection
 |start=2009/10/01
-|status=Active
+|status=Closed
 |level=Ms
 |type=Course

@@ Line 1: / Line 1: @@
 {{Project
 |title=Ovarian Cancer Detection by an Electronic Nose
 |coordinator=AndreaBonarini; MatteoMatteucci
 |tutor=RossellaBlatt;
@@ Line 11: / Line 10: @@
 |type=Course
 }}
 The electronic nose is an instrument able to detect and recognize odors, that is the volatile substances in the atmosphere or emitted by the analyzed substance. This device can react to a gas substance by providing signals that can be analyzed to classify the input. It is composed of a sensor array (MOS sensors, in our case) and a pattern classification process based on machine learning techniques. Each sensor reacts in a different way to the analyzed substance, providing multidimensional data that can be considered as a unique olfactory blueprint of the analyzed substance. In our work, we used an array composed of six Metal Oxide Semiconductor (MOS) sensors.
-In this project, we have been using an electronic nose based on an array of six MOS sensors, to recognize the presence of lung cancer in breaths' subjects, diagnosing the disease with a non invasive and low cost method.
+In this project, we have been using an electronic nose based on an array of six MOS sensors, to recognize the presence of ovarian cancer in breaths' subjects, diagnosing the disease with a non invasive and low cost method.