Automated human chromosome segmentation and feature extraction: Current trends and prospects
Sign Up to like & getrecommendations! Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.84360.1
Abstract: Automated human chromosome segmentation and feature extraction aim to improve the overall quality of genetic disorder diagnosis by addressing the limitations of tedious manual processes such as expertise dependence, time-inefficiency, observer variability and fatigue errors.… read more here.
Keywords: human chromosome; chromosome segmentation; feature extraction;
SupCAM: Chromosome cluster types identification using supervised contrastive learning with category-variant augmentation and self-margin loss
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2023.1109269
Abstract: Chromosome segmentation is a crucial analyzing task in karyotyping, a technique used in experiments to discover chromosomal abnormalities. Chromosomes often touch and occlude with each other in images, forming various chromosome clusters. The majority of… read more here.
Keywords: identification; loss; chromosome; chromosome segmentation ... See more keywords
Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24040522
Abstract: Chromosome karyotype analysis is of great clinical importance in the diagnosis and treatment of diseases. Since manual analysis is highly time and effort consuming, computer-assisted automatic chromosome karyotype analysis based on images is routinely used… read more here.
Keywords: overlapping chromosome; framework; chromosome; analysis ... See more keywords