Deep features based medical image retrieval
In this paper, deep convolutional neural network model is developed for classification and
image retrieval purpose. Deep learning techniques obtained deep features from different …
image retrieval purpose. Deep learning techniques obtained deep features from different …
Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor
This paper presents a new class of local neighborhood based wavelet feature descriptor
(LNWFD) for content based medical image retrieval (CBMIR). To retrieve images effectively …
(LNWFD) for content based medical image retrieval (CBMIR). To retrieve images effectively …
An efficient content-based medical image retrieval based on a new Canny steerable texture filter and Brownian motion weighted deep learning neural network
RV Rao, TJC Prasad - The Visual Computer, 2023 - Springer
The increasing size of medical image repositories is due to the increasing number of digital
imaging data sources. Most of the image content descriptors proposed in the literature are …
imaging data sources. Most of the image content descriptors proposed in the literature are …
Feature extraction and power quality event classification using Curvelet transform and optimized extreme learning machine
This article presents an efficient method for power quality events (PQEs) detection and
classification based on Curvelet transform (CT) and optimized extreme learning machine …
classification based on Curvelet transform (CT) and optimized extreme learning machine …
A multi-algorithm block fusion method based on set-valued mapping for dual-modal infrared images
P Hu, F Yang, H Wei, L Ji, D Liu - Infrared Physics & Technology, 2019 - Elsevier
It is always a goal to make use of difference-features between infrared intensity and
polarization (degree of polarization) images to drive selection of targeted algorithms rather …
polarization (degree of polarization) images to drive selection of targeted algorithms rather …
Brain tissue magnetic resonance imaging segmentation using anisotropic textural features
One of the most useful diagnostic tests for brain diseases is magnetic resonance imaging
(MRI). It is a demanding task to segment brain tissue into cerebrospinal fluid (CSF), gray …
(MRI). It is a demanding task to segment brain tissue into cerebrospinal fluid (CSF), gray …
Biomedical image indexing and retrieval based on new efficient hybrid approach using directional decomposition and a novel local directional frequency encoded …
In this paper, a new efficient hybrid approach based on directional decomposition and post
local feature extraction is proposed for biomedical image indexing and retrieval. Initially …
local feature extraction is proposed for biomedical image indexing and retrieval. Initially …
3D local circular difference patterns for biomedical image retrieval
In this paper, three-dimensional local circular difference patterns (3D LCDP) and three-
dimensional local circular difference wavelet patterns (3D LCDWP) are proposed for …
dimensional local circular difference wavelet patterns (3D LCDWP) are proposed for …
Local bit-plane neighbour dissimilarity pattern in non-subsampled shearlet transform domain for bio-medical image retrieval.
This paper introduces a novel descriptor non-subsampled shearlet transform (NSST) local
bit-plane neighbour dissimilarity pattern (NSST-LBNDP) for biomedical image retrieval …
bit-plane neighbour dissimilarity pattern (NSST-LBNDP) for biomedical image retrieval …