Chromosome classification for metaphase selection

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 chromosomes are non-rigid bodies that contain the genetic information of an individual. The metaphase chromosome image spread contains the chromosomes, but these chromosomes are not distinct bodies; they can either be individual chromosomes or be touching one another; they may be bent or even may be overlapping and thus forming a cluster of chromosomes. The extraction of chromosomes from these touching and overlapping chromosomes is a very tedious process. The segmentation of a random metaphase chromosome image may not give us correct and accurate results. Therefore, before taking up a metaphase chromosome image for analysis, it must be analyzed for the orientation of the chromosomes it contains. The various reported methods for metaphase chromosome image selection for automatic karyotype generation are compared in this paper. After analysis, it has been concluded that each metaphase chromosome image selection method has its advantages and disadvantages.

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Classification of analyzable metaphase images using transfer learning and fine tuning

Albayrak

2021

Med Biol Eng Comput

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Chromosome classification for metaphase selection

Cited by 5 publications

References 11 publications

A survey of neural network based automated systems for human chromosome classification

A survey of neural network based automated systems for human chromosome classification

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

Classification of analyzable metaphase images using transfer learning and fine tuning

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