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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1270
DC FieldValueLanguage
dc.contributor.authorNgo Minh Thongen_US
dc.date.accessioned2022-01-18T04:07:58Z-
dc.date.available2022-01-18T04:07:58Z-
dc.date.issued2021-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/1270-
dc.description.abstractThe purpose of this thesis is to go through the knowledge of this topic and to implement a chromosome separation method which is called ChromSeg. The purpose of ChromSeg is to separate the chromosomes from a crossing-overlapping cluster. The method has a two stages framework to first recognize the segmentation of overlapping and non-overlapping areas, then using an algorithm to group and return the image of individual chromosomes. The method was introduced in 2020 and was the first to provide images of chromosomes to the end user instead of just suggesting segmentation like its previous methods. Some updates on the algorithm were also added to adapt the testing dataset of the thesis research. The result overall has a good performance. The source code for the thesis is available at https://github.com/Thong-nm/ChromSeg-framework-for-crossing-overlap-chromosomesen_US
dc.language.isoenen_US
dc.publisherVietnamese-German University-
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectChromosome recognitionen_US
dc.subjectDeep learningen_US
dc.titleChromosome recognition and classification using deep learningen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
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