Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11322
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dc.contributor.authorDesai, Sunny-
dc.date.accessioned2022-10-06T10:11:30Z-
dc.date.available2022-10-06T10:11:30Z-
dc.date.issued2022-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11322-
dc.description.abstractKaryotyping is process of separating and forming pair of chromosomes, which can be further utilized to find any abnormalities in Chromosome pairs. Chromosomes are thread like structure made up of protein. Human body has total 46 chromosomes, which makes 23 pairs of chromosomes. Chromosome pairs are useful for finding any abnormalities due to lack of any chromosome or structural abnormalities of the chromosomes. After applying the karyotyping, the process of identifying the abnormalities is simplified. To classify the category of chromosome pair, Capsule network is proposed, which is fairly new architecture for classification task. Capsule Networks works really well with small size dataset and overtime many medical image analysis classification problems are solved using capsule network. Capsule network is totally different architecture from CNNs and capsule network also maintains the pose related information of the object, upon which if object input is transformed output of the network is also transformed.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries20MCEC04;-
dc.subjectComputer 2020en_US
dc.subjectProject Report 2020en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject20MCEen_US
dc.subject20MCECen_US
dc.subject20MCEC04en_US
dc.titleAutomatic Karyotyping of Human Chromosomes using Capsule Networken_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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