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Transferred semantic scores for scalable retrieval of histopathological breast cancer images


Citation

Nejad, Elaheh Mahraban and Affendey, Lilly Suriani and Latip, Rohaya and Ishak, Iskandar and Banaeeyan, Rasoul (2018) Transferred semantic scores for scalable retrieval of histopathological breast cancer images. International Journal of Multimedia Information Retrieval, 7 (4). 241 - 249. ISSN 2192-6611; ESSN: 2192-662X

Abstract

Content-based medical image retrieval (CBMIR) is an active field of research and a complementary decision support tool for the diagnosis of breast cancer. Current CBMIR systems employ hand-engineered image descriptors which are not effective enough at retrieval phase. Besides this drawback, the so-called semantic gap in the CBMIR is not still addressed leaving the room for further improvements. To fill in the two mentioned existing gaps, we proposed a new retrieval method which exploiteda deep pre-trained convolutional neural network model to extract class-specific and patient-specific tumorous descriptor tofirstly train a binary breast cancer classifier and then a multi-patient classifier aiming for reducing dimensions of the raw deeply transferred features and obtaining semantic scores which significantly enhanced the performance in terms of mean average precision. We evaluated the method on scalable BreakHis dataset of histopathological breast cancer images. After conductingfive sets of experiments, results demonstrated the superior effectiveness of the proposed semantic-driven retrieval methods by means of increased mean average precision and decreased dimensionality and retrieval time. In overall, an improvement of 29.03% was obtained by the proposed class-driven semantic retrieval method.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1007/s13735-018-0157-z
Publisher: Springer
Keywords: Breast cancer retrieval; Transferred semantic score; Deep convolutional neural network; Histopathological image
Depositing User: Nida Hidayati Ghazali
Date Deposited: 17 Apr 2020 15:35
Last Modified: 17 Apr 2020 15:35
Altmetrics: https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s13735-018-0157-z
URI: http://psasir.upm.edu.my/id/eprint/74331
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