Automated Scoring of Metaphase Cell Images and Identification of Dicentric Chromosomes
| Autor: | Kishore K. Singh, Shuchi Bhagi, Anil Kumar Sao, Muhammad Ubadah, Amit Alok, Nabo Kumar Chaudhury, Arnav Bhavsar |
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| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
business.industry Computer science Chromosome Image processing Pattern recognition 030218 nuclear medicine & medical imaging 03 medical and health sciences Dicentric chromosome Identification (information) 030104 developmental biology 0302 clinical medicine Biodosimetry False detection Artificial intelligence business Metaphase |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811610851 CVIP (1) |
| DOI: | 10.1007/978-981-16-1086-8_35 |
| Popis: | The absorbed dose of radiation can be estimated by a dicentric chromosomal assay using blood culture in the Biodosimetry lab. The process requires specialized skills and competency and is time-consuming. In the case of large samples during a radiation emergency, a lab will not be able to handle the radiation-exposed subjects. In this study, we propose a method to identify the dicentric chromosomes in each metaphase image which is based on the intensity profile of the segmented chromosome. Also, we have developed an automated computerized image processing based scheme to rank the metaphase cell images according to their quality based on the inputs from the biodosimetry (accredited) lab of the Institute of Nuclear Medicine and Allied Sciences (INMAS), India. We have evaluated the performance of the system for different ranked images. Experimental results demonstrate that if we use the ranking module with the detection of the dicentric chromosome, the performance of the system improves because the false detection of DC reduces as we use only good quality images. |
| Databáze: | OpenAIRE |
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