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Investigating the breast cancer tissue utilizing semi-supervised learning and similarity measure
, Rashad manzoor
Published in IEEE
Volume: 2017-January
Pages: 269 - 274
Because of the exponential development of advanced information, the information distribution center size gets increments. From this crude information, recognizing the breast cancer growth plays a testing errand in bunches the proper component. This is satisfied with semi-regulated machine learning calculation and closeness measure. We have taken here the genuine specimens of cancer malignancy with nine components and one class characteristic. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)
PublisherData powered by TypesetIEEE
Open Access0