SNUMedinfo at ImageCLEF 2013: Medical Retrieval Task
نویسندگان
چکیده
This paper describes the participation of the SNUMedinfo team at the two retrieval tasks (Ad-hoc image-based retrieval and Case-based retrieval) in the ImageCLEF 2013 medical task. For the ad-hoc image-based retrieval task, we submitted 1 baseline textual run using query likelihood model in Indri search engine, and 4 visual runs utilizing various image features implemented in Lire image retrieval library. For the case-based retrieval task, we submitted 1 baseline textual run using query likelihood model in Indri search engine, and 9 textual runs utilizing external corpus (MEDLINE) for expansion term inference. Our method ranked first in the case-based retrieval task.
منابع مشابه
X-ray Image Body Part Clustering using Deep Convolutional Neural Network: SNUMedinfo at ImageCLEF 2015 Medical Clustering Task
This paper describes our participation at the ImageCLEF 2015 Medical clustering task. The task is about clustering digital x-ray images into four groups with regard to the body parts. We experimented with deep convolutional neural network (GoogLeNet), finetuning pretrained models for ImageNet dataset. Experimental results showed competitive performance with other top-performing runs.
متن کاملFCSE at Medical Tasks of ImageCLEF 2013
This paper presents the details of the participation of FCSE (Faculty of Computer Science and Engineering) research team in ImageCLEF 2013 medical tasks (modality classification, ad-hoc image retrieval and case-based retrieval). For the modality classification task we used SIFT descriptors and tf − idf weights of the surrounding text (image caption and paper title) as features. SVMs with χ kern...
متن کاملSNUMedinfo at TREC CDS track 2014: Medical case-based retrieval task
This paper describes the participation of the SNUMedinfo team at the TREC Clinical Decision Support track 2014. This task is about medical casebased retrieval. Case description is used as query text. Per each query, one of three categories (Diagnosis, Test and Treatment) is designated as target information need. Firstly, we used external tagged knowledge-based query expansion method for the rel...
متن کاملNovaSearch on Medical ImageCLEF 2013
This article presents the participation of the Center of Informatics and Information Technology group CITI in medical ImageCLEF 2013. This is our first participation and we submitted runs on the modality classification task, the ad-hoc image retrieval task and case retrieval task. We are developing a system to integrate textual and visual retrieval into a framework for multimodal retrieval. Our...
متن کاملImageCLEF 2013: The Vision, the Data and the Open Challenges
This paper presents an overview of the ImageCLEF 2013 lab. Since its first edition in 2003, ImageCLEF has become one of the key initiative promoting the benchmark evaluation of algorithms for the cross-language annotation and retrieval of images in various domains, from public and personal photo collections to medical images, to data acquired by mobile robot platforms to botanic collections. Ov...
متن کامل