A comprehensive review of content-based image retrieval systems using deep learning and hand-crafted features in medical imaging: Research challenges and future …
R Vishraj, S Gupta, S Singh - Computers and Electrical Engineering, 2022 - Elsevier
Computer-based medical image retrieval (CBMIR) system helps practitioners to enhance
their diagnostic abilities, speeds up accurate diagnosis, and minimizes intra-and inter …
their diagnostic abilities, speeds up accurate diagnosis, and minimizes intra-and inter …
Content-based medical image retrieval
Publisher Summary This chapter introduced content-based image retrieval (CBIR) and its
key components. CBIR methods support full retrieval by visual content/properties of images …
key components. CBIR methods support full retrieval by visual content/properties of images …
Content-based image retrieval from large medical databases
A Kak, C Pavlopoulou - Proceedings. First International …, 2002 - ieeexplore.ieee.org
The main goal of content based image retrieval is to efficiently retrieve images that are
visually similar to a query image. In this paper we focus on content based image retrieval …
visually similar to a query image. In this paper we focus on content based image retrieval …
Does a CBIR system really impact decisions of physicians in a clinical environment?
M Ponciano-Silva, JP Souza, PH Bugatti… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Content-based image retrieval systems are employed in several areas. One of the most
prominent area is the medical field, due to the huge volume of digital images daily …
prominent area is the medical field, due to the huge volume of digital images daily …
[PDF][PDF] A Comparative Study of Similarity Measures for Content-Based Medical Image Retrieval.
J Collins, K Okada - CLEF (Online Working Notes/Labs/Workshop), 2012 - Citeseer
This note summarizes methodologies employed in our submissions for the medical retrieval
subtask of 2012 ImageCLEF competition. Our work aims to provide a systematic comparison …
subtask of 2012 ImageCLEF competition. Our work aims to provide a systematic comparison …
Rotation invariant HOG for object localization in web images
To localize objects in Web images using an invariant descriptor is crucial. The HOG
(histogram of oriented gradients) descriptor is used to increase the accuracy of localization …
(histogram of oriented gradients) descriptor is used to increase the accuracy of localization …
Content-based image retrieval for medical imagery
C Pavlopoulou, AC Kak… - Medical Imaging 2003 …, 2003 - spiedigitallibrary.org
The main goal of content based image retrieval is to efficiently retrieve images that are
visually similar to a query image. In this paper we will focus on content based image retrieval …
visually similar to a query image. In this paper we will focus on content based image retrieval …
Evaluation of a content-based retrieval system for blood cell images with automated methods
WC Seng, SH Mirisaee - Journal of medical systems, 2011 - Springer
Content-based image retrieval techniques have been extensively studied for the past few
years. With the growth of digital medical image databases, the demand for content-based …
years. With the growth of digital medical image databases, the demand for content-based …
A Novel Saliency Region Enhanced Technique for Biomedical Image Indexing Using Deep Learning.
Today's advanced medical facilities have created a space for a better understanding of
many health-related issues such as fractures, tumors, infections, etc. through augmented …
many health-related issues such as fractures, tumors, infections, etc. through augmented …
Content-based large-scale medical image retrieval
This chapter introduces content-based image retrieval (CBIR) and its key components
including image feature extraction, similarity comparison, the indexing scheme, and the …
including image feature extraction, similarity comparison, the indexing scheme, and the …