Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/747
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dc.contributor.authorKaur, Ishmeet
dc.contributor.authorKumar, Shubham
dc.contributor.authorSengupta, Debarka (Advisor)
dc.date.accessioned2019-10-07T06:35:33Z
dc.date.available2019-10-07T06:35:33Z
dc.date.issued2018-07-07
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/747
dc.description.abstractDetection of cancer has always been one of the most important and valued tasks in the history of medical science. In this project, we're trying to build some sort of a search engine where a person can feed their genomic data and, in the background we could detect the CTCs(circulatory tumor cells) in that and be able to present to the user, the possible types of Cancer he may be prone to have. Currently, we're in the the first phase of training the deep learning neural network autoencoder model using the h20 framework and are able to satisfactorily detect the CTCs.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectCTCen_US
dc.subjectCirculating tumor cellen_US
dc.subjectNeural networksen_US
dc.subjectAuto-encodersen_US
dc.subjectAnomaly detectionen_US
dc.titleDetection of circulatory tumor cellsen_US
dc.typeOtheren_US
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