MaZda—a software package for image texture analysis
MaZda, a software package for 2D and 3D image texture analysis is presented. It provides a
complete path for quantitative analysis of image textures, including computation of texture …
complete path for quantitative analysis of image textures, including computation of texture …
Clear cell renal cell carcinoma: machine learning-based quantitative computed tomography texture analysis for prediction of fuhrman nuclear grade
CT Bektas, B Kocak, AH Yardimci, MH Turkcanoglu… - European …, 2019 - Springer
Objective To evaluate the performance of quantitative computed tomography (CT) texture
analysis using different machine learning (ML) classifiers for discriminating low and high …
analysis using different machine learning (ML) classifiers for discriminating low and high …
AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics
Introduction The quantitative imaging features (radiomics) that can be obtained from the
different modalities of current-generation hybrid imaging can give complementary …
different modalities of current-generation hybrid imaging can give complementary …
Variation in algorithm implementation across radiomics software
Given the increased need for consistent quantitative image analysis, variations in radiomics
feature calculations due to differences in radiomics software were investigated. Two in …
feature calculations due to differences in radiomics software were investigated. Two in …
Gray level Co-occurrence matrix, fractal and wavelet analyses of discrete changes in cell nuclear structure following osmotic stress: Focus on machine learning …
I Pantic, S Valjarevic, J Cumic, I Paunkovic… - Fractal and …, 2023 - mdpi.com
In this work, we demonstrate that it is possible to create supervised machine-learning
models using a support vector machine and random forest algorithms to separate yeast cells …
models using a support vector machine and random forest algorithms to separate yeast cells …
Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images
I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
Non-destructive discrimination of vacuum-dried banana using image processing operation and machine learning approach
The objective of this study was to distinguish banana samples subjected to 18 different
combinations of vacuum drying and various pretreatments using innovative models built …
combinations of vacuum drying and various pretreatments using innovative models built …
Machine learning and computer vision technology to analyze and discriminate soil samples
Soil texture is one of the most important elements to consider before planting and tillage.
These features affect the product selection and regulate its water permeability …
These features affect the product selection and regulate its water permeability …
Analysis of vascular architecture and parenchymal damage generated by reduced blood perfusion in decellularized porcine kidneys using a gray level co-occurrence …
There is no cure for kidney failure, but a bioartificial kidney may help address this global
problem. Decellularization provides a promising platform to generate transplantable organs …
problem. Decellularization provides a promising platform to generate transplantable organs …
Computational approaches for evaluating morphological changes in the corneal stroma associated with decellularization
Decellularized corneas offer a promising and sustainable source of replacement grafts,
mimicking native tissue and reducing the risk of immune rejection post-transplantation …
mimicking native tissue and reducing the risk of immune rejection post-transplantation …