Garcia Seco De Herrera, Alba and Markonis, Dimitrios and Joyseeree, Ranveer and Schaer, Roger and Foncubierta-Rodríguez, Antonio and Müller, Henning (2015) Semi–Supervised Learning for Image Modality Classification. In: Multimodal Retrieval in the Medical Domain First International Workshop, MRMD 2015, 2015-03-29 - ?, Vienna, Austria.
Garcia Seco De Herrera, Alba and Markonis, Dimitrios and Joyseeree, Ranveer and Schaer, Roger and Foncubierta-Rodríguez, Antonio and Müller, Henning (2015) Semi–Supervised Learning for Image Modality Classification. In: Multimodal Retrieval in the Medical Domain First International Workshop, MRMD 2015, 2015-03-29 - ?, Vienna, Austria.
Garcia Seco De Herrera, Alba and Markonis, Dimitrios and Joyseeree, Ranveer and Schaer, Roger and Foncubierta-Rodríguez, Antonio and Müller, Henning (2015) Semi–Supervised Learning for Image Modality Classification. In: Multimodal Retrieval in the Medical Domain First International Workshop, MRMD 2015, 2015-03-29 - ?, Vienna, Austria.
Abstract
Searching for medical image content is a regular task for many physicians, especially in radiology. Retrieval of medical images from the scientific literature can benefit from automatic modality classification to focus the search and filter out non–relevant items. Training datasets are often unevenly distributed regarding the classes resulting sometimes in a less than optimal classification performance. This article proposes a semi–supervised learning approach applied using a k–Nearest Neighbour (k–NN) classifier to exploit unlabelled data and to expand the training set. The algorithmic implementation is described and the method is evaluated on the ImageCLEFmed modality classification benchmark. Results show that this approach achieves an improved performance over supervised k–NN and Random Forest classifiers. Moreover, medical case–based retrieval benefits from the modality filter.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: Multimodal Retrieval in the Medical Domain First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers. Part of the Lecture Notes in Computer Science book series (LNCS, volume 9059) |
Uncontrolled Keywords: | case-based retrieval, crowdsourcing, image classification, semi-supervised learning |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 Jan 2020 14:06 |
Last Modified: | 30 Oct 2024 19:34 |
URI: | http://repository.essex.ac.uk/id/eprint/22226 |
Available files
Filename: MRMD_Alba.pdf