Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging

Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. In the last decades, new imaging techniques based on magnetic resonance imaging (MRI) have been developed improving diagnosis. In practice, diagnosis is affected by multiple factors such as observer variability and...

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Main Authors: Lemaitre, G., Marti, R., Rastgoo, M., Meriaudeau, F.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20023 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032226643&doi=10.1109%2fEMBC.2017.8037522&partnerID=40&md5=fa9baf1447ac7eb55a334b8e06f877dc
http://eprints.utp.edu.my/20023/
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spelling utp-eprints.200232018-04-22T14:37:58Z Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging Lemaitre, G. Marti, R. Rastgoo, M. Meriaudeau, F. Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. In the last decades, new imaging techniques based on magnetic resonance imaging (MRI) have been developed improving diagnosis. In practice, diagnosis is affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and diagnosis (CAD) systems are being designed to help radiologists in their clinical practice. We propose a CAD system taking advantage of all MRI modalities (i.e., T2-W-MRI, DCE-MRI, diffusion weighted (DW)-MRI, MRSI). The aim of this CAD system was to provide a probabilistic map of cancer location in the prostate. We extensively tested our proposed CAD using different fusion approaches to combine the features provided by each modality. The source code and the dataset have been released. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032226643&doi=10.1109%2fEMBC.2017.8037522&partnerID=40&md5=fa9baf1447ac7eb55a334b8e06f877dc Lemaitre, G. and Marti, R. and Rastgoo, M. and Meriaudeau, F. (2017) Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS . pp. 3138-3141. http://eprints.utp.edu.my/20023/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. In the last decades, new imaging techniques based on magnetic resonance imaging (MRI) have been developed improving diagnosis. In practice, diagnosis is affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and diagnosis (CAD) systems are being designed to help radiologists in their clinical practice. We propose a CAD system taking advantage of all MRI modalities (i.e., T2-W-MRI, DCE-MRI, diffusion weighted (DW)-MRI, MRSI). The aim of this CAD system was to provide a probabilistic map of cancer location in the prostate. We extensively tested our proposed CAD using different fusion approaches to combine the features provided by each modality. The source code and the dataset have been released. © 2017 IEEE.
format Article
author Lemaitre, G.
Marti, R.
Rastgoo, M.
Meriaudeau, F.
spellingShingle Lemaitre, G.
Marti, R.
Rastgoo, M.
Meriaudeau, F.
Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
author_sort Lemaitre, G.
title Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
title_short Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
title_full Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
title_fullStr Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
title_full_unstemmed Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
title_sort computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032226643&doi=10.1109%2fEMBC.2017.8037522&partnerID=40&md5=fa9baf1447ac7eb55a334b8e06f877dc
http://eprints.utp.edu.my/20023/
_version_ 1741196303515254784
score 11.62408

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