Moddicom: A complete and easily accessible library for prognostic evaluations relying on image features

Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, Roberto Gatta, Rosa Autorino, Luca Boldrini, Andrea Damiani, Vincenzo Valentini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e. information that can be automatically computed by considering images resulting by analysis. The DSSs application as predictive tools is particularly suitable for cancer treatment, given the peculiarities of the disease -which is highly localised and lead to significant social costs- and the large number of images that are available for each patient. At the state of the art, there exists tools that allow to handle image features for prognostic evaluations, but they are not designed for medical experts. They require either a strong engineering or computer science background since they do not integrate all the required functions, such as image retrieval and storage. In this paper we fill this gap by proposing Moddicom, a user-friendly complete library specifically designed to be exploited by physicians. A preliminary experimental analysis, performed by a medical expert that used the tool, demonstrates the efficiency and the effectiveness of Moddicom.
LanguageEnglish
Title of host publication37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEMBC
Pages771-774
Number of pages4
DOIs
Publication statusPublished - 5 Nov 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Biomedical Engineering: A Bridge to Improve the Quality of Health Care and the Quality of Life - Milano Conference Centre, Milan, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37
https://embc.embs.org/2015/ (Link to Conference Website)

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15
Internet address

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Decision support systems
Oncology
Image retrieval
Computer science
Costs

Cite this

Dinapoli, N., Alitto, A. R., Vallati, M., Gatta, R., Autorino, R., Boldrini, L., ... Valentini, V. (2015). Moddicom: A complete and easily accessible library for prognostic evaluations relying on image features. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : EMBC (pp. 771-774) https://doi.org/10.1109/EMBC.2015.7318476
Dinapoli, Nicola ; Alitto, Anna Rita ; Vallati, Mauro ; Gatta, Roberto ; Autorino, Rosa ; Boldrini, Luca ; Damiani, Andrea ; Valentini, Vincenzo. / Moddicom : A complete and easily accessible library for prognostic evaluations relying on image features. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : EMBC. 2015. pp. 771-774
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title = "Moddicom: A complete and easily accessible library for prognostic evaluations relying on image features",
abstract = "Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e. information that can be automatically computed by considering images resulting by analysis. The DSSs application as predictive tools is particularly suitable for cancer treatment, given the peculiarities of the disease -which is highly localised and lead to significant social costs- and the large number of images that are available for each patient. At the state of the art, there exists tools that allow to handle image features for prognostic evaluations, but they are not designed for medical experts. They require either a strong engineering or computer science background since they do not integrate all the required functions, such as image retrieval and storage. In this paper we fill this gap by proposing Moddicom, a user-friendly complete library specifically designed to be exploited by physicians. A preliminary experimental analysis, performed by a medical expert that used the tool, demonstrates the efficiency and the effectiveness of Moddicom.",
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Dinapoli, N, Alitto, AR, Vallati, M, Gatta, R, Autorino, R, Boldrini, L, Damiani, A & Valentini, V 2015, Moddicom: A complete and easily accessible library for prognostic evaluations relying on image features. in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : EMBC. pp. 771-774, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7318476

Moddicom : A complete and easily accessible library for prognostic evaluations relying on image features. / Dinapoli, Nicola; Alitto, Anna Rita; Vallati, Mauro; Gatta, Roberto; Autorino, Rosa; Boldrini, Luca; Damiani, Andrea; Valentini, Vincenzo.

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : EMBC. 2015. p. 771-774.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Vallati, Mauro

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AU - Damiani, Andrea

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AB - Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e. information that can be automatically computed by considering images resulting by analysis. The DSSs application as predictive tools is particularly suitable for cancer treatment, given the peculiarities of the disease -which is highly localised and lead to significant social costs- and the large number of images that are available for each patient. At the state of the art, there exists tools that allow to handle image features for prognostic evaluations, but they are not designed for medical experts. They require either a strong engineering or computer science background since they do not integrate all the required functions, such as image retrieval and storage. In this paper we fill this gap by proposing Moddicom, a user-friendly complete library specifically designed to be exploited by physicians. A preliminary experimental analysis, performed by a medical expert that used the tool, demonstrates the efficiency and the effectiveness of Moddicom.

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Dinapoli N, Alitto AR, Vallati M, Gatta R, Autorino R, Boldrini L et al. Moddicom: A complete and easily accessible library for prognostic evaluations relying on image features. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : EMBC. 2015. p. 771-774 https://doi.org/10.1109/EMBC.2015.7318476