Metaphase finding with deep convolutional neural networks

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

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.bspc.2019.04.017
  • Dergi Adı: BIOMEDICAL SIGNAL PROCESSING AND CONTROL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.353-361
  • Anahtar Kelimeler: Metaphase detection, Karyotyping, Deep convolutional neural networks, CHROMOSOMES, CLASSIFICATION, IDENTIFICATION, SPREADS, NUCLEI
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.