A systematic review of automated segmentation methods and public datasets for the lung and its lobes and findings on computed tomography images
Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …
X-Ray based computed tomography (CT) images is a challenging problem with important …
Machine learning for automatic paraspinous muscle area and attenuation measures on low-dose chest CT scans
Rationale and Objectives To develop and evaluate an automated machine learning (ML)
algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) …
algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) …
Automated segmentation of abdominal skeletal muscle on pediatric CT scans using deep learning
J Castiglione, E Somasundaram, LA Gilligan… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To automate skeletal muscle segmentation in a pediatric population using
convolutional neural networks that identify and segment the L3 level at CT. Materials and …
convolutional neural networks that identify and segment the L3 level at CT. Materials and …
[HTML][HTML] Trainable WEKA (Waikato Environment for Knowledge Analysis) segmentation tool: machine-learning-enabled segmentation on features of panoramic …
N Kanuri, AZ Abdelkarim, SA Rathore - Cureus, 2022 - ncbi.nlm.nih.gov
Introduction: Segmentation of dental radiographs is a comprehensive subject in oral care
and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic …
and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic …
Performance analyses of five neural network classifiers on nodule classification in lung CT images using WEKA: a comparative study
MA Hussain, L Gogoi - Physical and Engineering Sciences in Medicine, 2022 - Springer
In this report, we are presenting our work on performance analyses of five different neural
network classifiers viz. MLP, DL4JMLP, logistic regression, SGD and simple logistic …
network classifiers viz. MLP, DL4JMLP, logistic regression, SGD and simple logistic …
Lung Nodule Segmentation Using Machine Learning and Deep Learning Techniques
Global lung cancer mortality is growing. This supports early cancer screenings. CT lung
nodule segmentation is complicated and affects medical research, surgical planning, and …
nodule segmentation is complicated and affects medical research, surgical planning, and …
A machine learning based approach to the segmentation of micro CT data in archaeological and evolutionary sciences
Segmentation of high-resolution tomographic data is often an extremely time-consuming
task and until recently, has usually relied upon researchers manually selecting materials of …
task and until recently, has usually relied upon researchers manually selecting materials of …