Traditional and deep‐based techniques for end‐to‐end automated karyotyping: A review

R Remani Sathyan, G Chandrasekhara Menon… - Expert …, 2022 - Wiley Online Library
In the field of cytogenetics, chromosome image analysis or karyotyping from metaphase
images plays an imperative role in the diagnosis, prognosis and treatment assessment of …

Complications after adult spinal deformity surgeries: all are not created equal

M Dinizo, I Dolgalev, PG Passias, TJ Errico… - International Journal of …, 2021 - ijssurgery.com
Background: Data on timing of complications are important for accurate quality assessments.
We sought to better define pre-and postdischarge complications occurring within 90 days of …

Cir-net: Automatic classification of human chromosome based on inception-resnet architecture

C Lin, G Zhao, Z Yang, A Yin, X Wang… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Background: In medicine, karyotyping chromosomes is important for medical diagnostics,
drug development, and biomedical research. Unfortunately, chromosome karyotyping is …

Automated system for chromosome karyotyping to recognize the most common numerical abnormalities using deep learning

MS Al-Kharraz, LA Elrefaei, MA Fadel - IEEE Access, 2020 - ieeexplore.ieee.org
Chromosome analysis is an essential task in a cytogenetics lab, where cytogeneticists can
diagnose whether there are abnormalities or not. Karyotyping is a standard technique in …

Chromosome analysis method based on deep learning: Counting chromosomes and detecting abnormal chromosomes

S Kang, J Han, I Lee, H Joo, Y Chung… - … Signal Processing and …, 2024 - Elsevier
Karyotype analysis is a cytogenetic test method that counts chromosomes and evaluates
their structural abnormalities. However, since the processes of counting chromosomes and …

Chromenet: A CNN architecture with comparison of optimizers for classification of human chromosome images

D Menaka, SG Vaidyanathan - Multidimensional Systems and Signal …, 2022 - Springer
Chromosome karyotyping is pivotal in the diagnosis of many genetic disorders and birth
defects. Manual karyotyping is a tedious procedure and various techniques were proposed …

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification

C Lin, H Chen, J Huang, J Peng, L Guo, Z Yang… - … Biology and Chemistry, 2022 - Elsevier
Chromosome karyotyping analysis is a vital cytogenetics technique for diagnosing genetic
and congenital malformations, analyzing gestational and implantation failures, etc. Since the …

[HTML][HTML] Classification of Giemsa staining chromosome using input-aware deep convolutional neural network with integrated uncertainty estimates

H Wei, W Gao, H Nie, J Sun, M Zhu - Biomedical Signal Processing and …, 2022 - Elsevier
A fully automated chromosome analysis system can substitute cytogenetic experts for the
task of chromosome karyotype analysis, which in turn can substantially increase the …

A hybrid convolutional neural network‐support vector machine architecture for classification of super‐resolution enhanced chromosome images

D Menaka, S Ganesh Vaidyanathan - Expert Systems, 2023 - Wiley Online Library
This article offers a framework of a hybrid convolution neural network (CNN)–support vector
machine (SVM) model for the classification of human metaphase chromosome images. In …

Deep-Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble

M D'Angelo, L Nanni - Information, 2023 - mdpi.com
Object classification is a crucial task in deep learning, which involves the identification and
categorization of objects in images or videos. Although humans can easily recognize …