Medical community needs to extract precise information from a large amount of data. These data are a collection of different types such as text documents, images and video. Currently medical technology do not provide an intelligent methodology for documents recovery and classification of such documents based on their content. In this work the radiological structured reports are analysed with the corresponding mammographic images. The presented system is composed of an Indexing Engine and a Searching Engine, based on innovative methods for IR (Information Retrieval). The proposed work is useful for physicians as support diagnosis system, for students as learning support system, and finally, for epidemiological studies. The system allows for submitting a query through a web interface, consulting a structured report and showing associated mammographic images. The dataset is composed of both healthy and pathological patients. The proposed architecture achieved satisfactory results in terms of Sensitivity and Specificity. Three scenarios are presented and described. © 2013 IEEE.
Farruggia, A., Magro, R., Vitabile, S. (2013). A novel web service for mammography images indexing. In Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 (pp.225-230) [10.1109/WAINA.2013.77].
A novel web service for mammography images indexing
FARRUGGIA, Alfonso;VITABILE, Salvatore
2013-01-01
Abstract
Medical community needs to extract precise information from a large amount of data. These data are a collection of different types such as text documents, images and video. Currently medical technology do not provide an intelligent methodology for documents recovery and classification of such documents based on their content. In this work the radiological structured reports are analysed with the corresponding mammographic images. The presented system is composed of an Indexing Engine and a Searching Engine, based on innovative methods for IR (Information Retrieval). The proposed work is useful for physicians as support diagnosis system, for students as learning support system, and finally, for epidemiological studies. The system allows for submitting a query through a web interface, consulting a structured report and showing associated mammographic images. The dataset is composed of both healthy and pathological patients. The proposed architecture achieved satisfactory results in terms of Sensitivity and Specificity. Three scenarios are presented and described. © 2013 IEEE.File | Dimensione | Formato | |
---|---|---|---|
4952a225.pdf
Solo gestori archvio
Dimensione
1.53 MB
Formato
Adobe PDF
|
1.53 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.