Journal ArticleDOI
A review of content-based image retrieval systems in medical applications—clinical benefits and future directions
TLDR
The goal is not, in general, to replace text-based retrieval methods as they exist at the moment but to complement them with visual search tools.About:
This article is published in International Journal of Medical Informatics.The article was published on 2004-02-01. It has received 1535 citations till now. The article focuses on the topics: Content-based image retrieval & Image retrieval.read more
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Journal ArticleDOI
Image retrieval: Ideas, influences, and trends of the new age
TL;DR: Almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation are surveyed, and the spawning of related subfields are discussed, to discuss the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
Journal ArticleDOI
Features for image retrieval: an experimental comparison
TL;DR: An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented and the often used, but very simple, color histogram performs well in the comparison and thus can be recommended as a simple baseline for many applications.
Journal ArticleDOI
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar,Muhammad Majid,Adnan Qayyum,Muhammad Awais,Majdi R. Alnowami,Muhammad Khurram Khan +5 more
TL;DR: A comprehensive review of the current state-of-the-art in medical image analysis using deep convolutional networks is presented in this paper, where the challenges and potential of these techniques are also highlighted.
Journal ArticleDOI
Machine learning and radiology
Shijun Wang,Ronald M. Summers +1 more
TL;DR: It is shown that machine learning plays a key role in many radiology applications and the performance of machine learning-based automatic detection and diagnosis systems has shown to be comparable to that of a well-trained and experienced radiologist.
Proceedings ArticleDOI
Content-based image retrieval: approaches and trends of the new age
TL;DR: Some of the key contributions in the current decade related to image retrieval and automated image annotation are discussed, spanning 120 references, and a study on the trends in volume and impact of publications in the field with respect to venues/journals and sub-topics is concluded.
References
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Book
Usability Engineering
TL;DR: This guide to the methods of usability engineering provides cost-effective methods that will help developers improve their user interfaces immediately and shows you how to avoid the four most frequently listed reasons for delay in software projects.
Journal ArticleDOI
Term Weighting Approaches in Automatic Text Retrieval
Gerard Salton,Chris Buckley +1 more
TL;DR: This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared.
Journal ArticleDOI
Features of Similarity
TL;DR: The metric and dimensional assumptions that underlie the geometric representation of similarity are questioned on both theoretical and empirical grounds and a set of qualitative assumptions are shown to imply the contrast model, which expresses the similarity between objects as a linear combination of the measures of their common and distinctive features.
Journal ArticleDOI
Statistical pattern recognition: a review
TL;DR: The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
Journal ArticleDOI
Content-based image retrieval at the end of the early years
TL;DR: The working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap are discussed, as well as aspects of system engineering: databases, system architecture, and evaluation.