A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection

Francesco Rossi, Alessandro Savino, Valentina Giannini, Anna Vignati, Simone Mazzetti, Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Daniele Regge

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

Abstract

Prostate Magnetic Resonance Imaging (MRI) is one of the most promising approaches to facilitate prostate cancer diagnosis. The effort of research community is focused on classification techniques of MR images in order to predict the cancer position and its aggressiveness. The reduction of False Negatives (FNs) is a key aspect to reduce mispredictions and to increase sensitivity. In order to deal with this issue, the most common approaches add extra filtering algorithms after the classification step; unfortunately, this solution increases the prediction time and it may introduce errors. The aim of this study is to present a methodology implementing a 3D voxel-wise neighborhood features evaluation within a Support Vector Machine (SVM) classification model. When compared with a common single-voxel-wise classification, the presented technique increases both specificity and sensitivity of the classifier, without impacting on its performances. Different neighborhood sizes have been tested to prove the overall good performance of the classification.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages231-239
Number of pages9
Volume9043
ISBN (Print)9783319164823
Publication statusPublished - 2015
Event3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 - Granada, Spain
Duration: Apr 15 2015Apr 17 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9043
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015
CountrySpain
CityGranada
Period4/15/154/17/15

Keywords

  • Magnetic resonance imaging
  • MRI classification
  • Prostate cancer
  • Support vector machine

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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