We present results from Oregon Health & Science University’s participation in the medical image retrieval task of ImageCLEF 2008. We created a web-based retrieval system built on a full-text index of the annotations using a Ruby on Rails framework. The text-based search engine was implemented in Ruby using Ferret, a port of Lucene. In addition to this textual index of annotations, supervised ma...

2008 was the fifth year for the medical image retrieval task of ImageCLEF, one of the most popular tracks within CLEF. Participation continued to increase in 2008. A total of 15 groups submitted 111 valid runs. Several requests for data access were also received after the registration deadline. The most significant change in 2008 was the use of a new database containing images from the medical ...

We report on simple textual strategies with thesaural resources in order to perform document and query translation for cross-language information retrieval in a collection of annotated medical images. The keystone of our strategy for the previous medical ImageCLEF was to enrich documents and queries with Medical Subject Headings (MeSH) terms extracted from them, in order to translate the more i...

This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses the following components: Lucene for text indexing and LIRE for image indexing. We experiment with several clustering methods in order to retrieve images from diverse clusters. The clustering methods are: k-means clustering, hierarchical clustering, and o...

DCU participated in the ImageCLEF 2008 photo retrieval task, which aimed to evaluate diversity in Image Retrieval, submitting runs for both the English and Random language annotation conditions. Our approaches used text-based and image-based retrieval to give baseline runs, with the the highest-ranked images from these baseline runs clustered using K-Means clustering of the text annotations, wi...

Recently, Bock et al. (2008) proposed a semiautomatic method to quantify the angiogenesis and the lymphangiogenesis in corneal flat mounts. This model has proven suitability for unraveling the cellular and molecular mechanisms of inflammatory corneal lymphangiogenesis, as well as for evaluating the efficacy of novel drugs (Bock et al., 2007). The new method proposed by Bock et al. (2008) follow...

Submission (Oral request): May 19, 2008Student Grant (Travel bursary) Request: May 19, 2008Author Submission Acceptance Notification: May 26, 2008 Student Grant Notification: May 26, 2008 Early Bird Registration Fee: June 09, 2008Abstract Submission (Poster request): July 31, 2008Manuscript Submission (PSSa): Sep 30, 2008Organised by SEM image of a nano-electromechanical dev...

Discrete Cosine Transform (DCT) constitutes a powerful tool in signal processing, since its first introduction (Ahmed et al., 1974). It belongs to a class of mathematical operations that includes the well-known Fast Fourier Transform (FFT), having as basic operation taking a signal and transforming it from one type of representation to another. More precisely, DCT transforms a signal from the s...

This work reports baseline results for the CLEF 2008 Medical Automatic Annotation Task (MAAT) by applying a classifier with a fixed parameter set to all tasks 2005 – 2008. A nearest-neighbor (NN) classifier is used, which uses a weighted combination of three distance and similarity measures operating on global image features: Scaled-down representations of the images are compared using models f...

References: [1] E.J. Slow, et al, “Selective striatal neuronal loss in a YAC128 mouse model of Huntington disease.,” Hum Mol Genet, vol. 12, 2003, p. 1555―67. [2] J.M. Van Raamsdonk, et al, “Selective degeneration and nuclear localization of mutant huntingtin in the YAC128 mouse model of Huntington disease.,” Hum Mol Genet, vol. 14, 2005, p. 3823―35. [3] J.P. Lerch, et al, “Automated deformatio...