Traditional and deep‐based techniques for end‐to‐end automated karyoty**: A review
R Remani Sathyan, G Chandrasekhara Menon… - Expert …, 2022 - Wiley Online Library
In the field of cytogenetics, chromosome image analysis or karyoty** from metaphase
images plays an imperative role in the diagnosis, prognosis and treatment assessment of …
images plays an imperative role in the diagnosis, prognosis and treatment assessment of …
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD)
scheme of mammograms for classifying between malignant and benign masses. METHODS …
scheme of mammograms for classifying between malignant and benign masses. METHODS …
A review of metaphase chromosome image selection techniques for automatic karyotype generation
The karyotype is analyzed to detect the genetic abnormalities. It is generated by arranging
the chromosomes after extracting them from the metaphase chromosome images. The …
the chromosomes after extracting them from the metaphase chromosome images. The …
Optimization and validation of automated dicentric chromosome analysis for radiological/nuclear triage applications
TL Ryan, MB Escalona, TL Smith, J Albanese… - … /Genetic Toxicology and …, 2019 - Elsevier
Abstract Dicentric Chromosome Assay (DCA) is the most preferred cytogenetic technique for
absorbed radiation dose assessment in exposed humans. However, DCA is somewhat …
absorbed radiation dose assessment in exposed humans. However, DCA is somewhat …
Radiation dose estimation by completely automated interpretation of the dicentric chromosome assay
Y Li, BC Shirley, RC Wilkins, F Norton… - Radiation protection …, 2019 - academic.oup.com
Accuracy of the automated dicentric chromosome (DC) assay relies on metaphase image
selection. This study validates a software framework to find the best image selection models …
selection. This study validates a software framework to find the best image selection models …
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study
Although mammography is the only clinically acceptable imaging modality used in the
population-based breast cancer screening, its efficacy is quite controversy. One of the major …
population-based breast cancer screening, its efficacy is quite controversy. One of the major …
Metaphase finding with deep convolutional neural networks
Background Finding analyzable metaphase chromosome images is an essential step in
karyoty** which is a common task for clinicians to diagnose cancers and genetic disorders …
karyoty** which is a common task for clinicians to diagnose cancers and genetic disorders …
[PDF][PDF] FahamecV1: A Low Cost Automated Metaphase Detection System.
In this study, FahamecV1 is introduced and investigated as a low cost and high accuracy
solution for metaphase detection. Chromosome analysis is performed at the metaphase …
solution for metaphase detection. Chromosome analysis is performed at the metaphase …
Classification of human metaspread images using convolutional neural networks
T Arora - International Journal of Image and Graphics, 2021 - World Scientific
Chromosomes are the genetic information carriers. Any modification to the structure or the
number of chromosomes results in a medical condition termed as genetic defect. In order to …
number of chromosomes results in a medical condition termed as genetic defect. In order to …
Machine learning classifiers evaluation for automatic karyogram generation from G-banded metaphase images
Featured Application Results of the methodology described in this work are part of an
automatic system to generate a cytogenetic report for the Laboratory of Cytogenetics of the …
automatic system to generate a cytogenetic report for the Laboratory of Cytogenetics of the …