Ovarian Cancer Detection by an Electronic Nose
Ovarian Cancer Detection by an Electronic Nose
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| Short Description: | [[prjDescription::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 (andrea.bonarini@polimi.it), MatteoMatteucci (matteo.matteucci@polimi.it) |
| Tutor: | RossellaBlatt (blatt@elet.polimi.it) |
| Collaborator: | |
| Students: | AlessandroMariaMauri (), NiccoloMoretti () |
| Research Topic: | 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.
