ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Improving retrieval performance in medical image databases using simulated annealing.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 2 citations in OpenAlex.
- A neotropical Miocene pollen database employing image-based search and semantic modeling.Applications in plant sciences · 2014Article
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2 authors.
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Abstract
In the area of content-based image retrieval, one of the prerequisites of successful retrieval is the extraction of an ample number of distinguishing features that sufficiently describe the important characteristics represented in the image content. Parameters underlying image segmentation and feature extraction need to be set appropriately in order to have this success in retrieval. We present here a parameter tuning method using simulated annealing to dynamically adjust values of important parameters used in customized image processing algorithms for the purpose of improving the performance of retrieval for high resolution CT lung images in computer-aided diagnosis. The most notable improvement using F(β) measure among five modules is from 0.56 to 0.81, which is a 44.64% increase (p=0.022). This method provides a way to improve retrieval performance in a large variety of applications in medical imaging informatics.
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Identifiers
21346984PMC3041439W38467823What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.