Automated discrimination of dicentric and monocentric chromosomes by machine learning-based image processing
نویسندگان
چکیده
منابع مشابه
Automated discrimination of dicentric and monocentric chromosomes by machine learning-based image processing.
Dose from radiation exposure can be estimated from dicentric chromosome (DC) frequencies in metaphase cells of peripheral blood lymphocytes. We automated DC detection by extracting features in Giemsa-stained metaphase chromosome images and classifying objects by machine learning (ML). DC detection involves (i) intensity thresholded segmentation of metaphase objects, (ii) chromosome separation b...
متن کاملMachine Learning in Image Processing
1GREYC, UMR CNRS 6072, ENSICAEN, Université de Caen Basse-Normandie, 6 Boulevard du Maréchal Juin, 14050 Caen cedex, France 2Pattern Recognition and Image Analysis Team, Computer Science Laboratory (LI), Université François Rabelais de Tours, 64 avenue Jean Portalis, 37200 Tours, France 3Models Images Vision (MIV) Team, Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT), Un...
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background: high-energy ionizing radiation is harmful and changes the genetic makeup of dna, which can lead to increased risk of cancer. thus, the exposure of radiation dose should be under control and limited. ionizing radiation might lead to some chromosome aberrations like dicentric. there is a strong relation between the frequency of dicentric chromosome in metaphase, and the received dose....
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ژورنال
عنوان ژورنال: Microscopy Research and Technique
سال: 2016
ISSN: 1059-910X
DOI: 10.1002/jemt.22642