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 …

A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology

Y Qiu, S Yan, RR Gundreddy, Y Wang… - Journal of X-ray …, 2017 - content.iospress.com
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD)
scheme of mammograms for classifying between malignant and benign masses. METHODS …

A review of metaphase chromosome image selection techniques for automatic karyotype generation

T Arora, R Dhir - Medical & biological engineering & computing, 2016 - Springer
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 …

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 …

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 …

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study

Y Qiu, S Yan, M Tan, S Cheng, H Liu… - Medical Imaging 2016 …, 2016 - spiedigitallibrary.org
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 …

Metaphase finding with deep convolutional neural networks

Y Moazzen, A Capar, A Albayrak, N Çalık… - … Signal Processing and …, 2019 - Elsevier
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 …

[PDF][PDF] FahamecV1: A Low Cost Automated Metaphase Detection System.

H Yilmaz, MK Turan - Engineering, Technology & Applied Science …, 2017 - core.ac.uk
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 …

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 …

Machine learning classifiers evaluation for automatic karyogram generation from G-banded metaphase images

Y Hernández-Mier, MA Nuño-Maganda… - Applied Sciences, 2020 - mdpi.com
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 …