Content-based medical image retrieval based on deep features expansion
The collections of various digital image databases have significantly grown and many users
have recognized that finding and recovering important images from large collections is a …
have recognized that finding and recovering important images from large collections is a …
RetrieveNet: a novel deep network for medical image retrieval
CA Hussain, DV Rao, SA Mastani - Evolutionary Intelligence, 2021 - Springer
Abstract Content-Based Image Retrieval is an accurate characterization of visual information
used for medical and natural image classification, retrieval, face recognition, etc. In recent …
used for medical and natural image classification, retrieval, face recognition, etc. In recent …
Integrating CNN along with FAST descriptor for accurate retrieval of medical images with reduced error probability
The size of medical image repositories is continuously growing due to the widespread use of
digital imaging data in hospitals. This overlays the way for more medical records to be stored …
digital imaging data in hospitals. This overlays the way for more medical records to be stored …
Learning image representation from image reconstruction for a content-based medical image retrieval
R Pinapatruni, C Shoba Bindu - Signal, Image and Video Processing, 2020 - Springer
In this paper, we propose a novel approach of feature learning through image reconstruction
for content-based medical image retrieval. We propose an image reconstruction network to …
for content-based medical image retrieval. We propose an image reconstruction network to …
Development of a Deep Image Retrieval Network Using Hierarchical and Multi-scale Spatial Features
Image retrieval aims to find similar images to a given query by matching features extracted
directly from the images of a database. Deep convolutional neural networks provide an …
directly from the images of a database. Deep convolutional neural networks provide an …
Deep learning in content-based medical image retrieval
This chapter proposes a deep learning system for medical image retrieval based on content
by training a profound convolutionary neural network for the purpose of classification. The …
by training a profound convolutionary neural network for the purpose of classification. The …
A decade survey of content based image retrieval using deep learning
SR Dubey - IEEE Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …
against a query image. Generally, the similarity between the representative features of the …
Local bit-plane decoded convolutional neural network features for biomedical image retrieval
Biomedical image retrieval is a challenging problem due to the varying contrast and size of
structures in the images. The approaches for biomedical image retrieval generally rely on …
structures in the images. The approaches for biomedical image retrieval generally rely on …
Content based Image Retrieval using Fine-tuned Deep Features with Transfer Learning
MA Mohammed, ZA Oraibi… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
This paper introduces a deep learning approach to efficiently retrieve images using a robust
deep features extracted from VGG-19 architecture. Our work involves fine-tuning this pre …
deep features extracted from VGG-19 architecture. Our work involves fine-tuning this pre …
[PDF][PDF] Content Based Medical Image Retrieval Using Deep Learning Algorithms
K Saminathan - J. Data Acquisition Process., 2023 - sjcjycl.cn
Content Based Medical Image Retrieval (CBMIR) is a technique that search relevant images
in large repositories according to the content of the query image which is based on selected …
in large repositories according to the content of the query image which is based on selected …