Review of image low-level feature extraction methods for content-based image retrieval

S Wang, K Han, J ** - Sensor Review, 2019 - emerald.com
Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. The …

Classification of colorectal cancer based on the association of multidimensional and multiresolution features

MG Ribeiro, LA Neves, MZ do Nascimento… - Expert Systems with …, 2019 - Elsevier
Colorectal cancer is one of the most common types of cancer according to worldwide
incidences statistics. The correct diagnosis of this lesion leads to the indication of the most …

Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data—a preliminary study

W **a, Y Chen, R Zhang, Z Yan, X Zhou… - Physics in Medicine …, 2018 - iopscience.iop.org
Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of
prognostic imaging biomarkers by integrating gene data—a preliminary study - IOPscience …

Feature selection using Artificial Bee Colony algorithm for medical image classification

V Agrawal, S Chandra - 2015 eighth international conference …, 2015 - ieeexplore.ieee.org
Feature Selection in medical image processing is a process of selection of relevant features,
which are useful in model construction, as it will lead to reduced training times and …

Feature extraction of partial discharge in low‐temperature composite insulation based on VMD‐MSE‐IF

X Chen, X Shao, X Pan, G Luo, M Bi… - CAAI Transactions on …, 2022 - Wiley Online Library
Low‐temperature composite insulation is commonly applied in high‐temperature
superconducting apparatus while partial discharge (PD) is found to be an important indicator …

Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

K Ramamoorthy, H Rajaguru - Biomimetics, 2024 - mdpi.com
In the current scenario, liver abnormalities are one of the most serious public health
concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases …

Feature analysis and automatic classification of B-mode ultrasound images of fatty liver

P Zhang, H Huang, Q **ong, X He, Y Liu - Biomedical Signal Processing …, 2023 - Elsevier
Fatty liver refers to the pathological changes caused by excessive fat accumulation in
hepatocytes with various causes. The medical analysis of B-mode ultrasound images …

Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features

RK Krishnamurthy, S Radhakrishnan… - … Journal of Imaging …, 2021 - Wiley Online Library
Liver ultrasound is a cost‐effective, non‐invasive, and sufficient technique to diagnose most
of the liver disorders. The recent advancements in research in image processing have led to …

Feature extraction based on laws' texture energy for lesion echogenicity classification of thyroid ultrasound images

HA Nugroho, A Nugroho, EL Frannita… - … , Informatics and its …, 2017 - ieeexplore.ieee.org
Ultrasound image is commonly used to examine the malignancy characteristics of thyroid
nodule. One of the important feature to diagnose of malignant thyroid nodule is based on …

A new model to distinguish railhead defects based on set-membership type-2 fuzzy logic system

EP de Aguiar, TE Fernandes, FMA Nogueira… - International Journal of …, 2021 - Springer
This paper focuses on the new model for the classification of railhead defects, through
images acquired by a rail inspection vehicle. In this regard, we discuss the use of set …