Metaphase finding with deep convolutional neural networks

Moazzen Y., Çapar A., Albayrak A., ÇALIK N., Töreyin B. U.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, vol.52, pp.353-361, 2019 (SCI-Expanded) identifier identifier


Background: Finding analyzable metaphase chromosome images is an essential step in karyotyping which is a common task for clinicians to diagnose cancers and genetic disorders precisely. This step is tedious and time-consuming. Hence developing automated fast and reliable methods to assist clinical technicians becomes indispensable. Previous approaches include methods with feature extraction followed by rule or quality based classifiers, component analysis, and neural networks.