Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

dc.contributor.author	Budak, Umit
dc.contributor.author	Comert, Zafer
dc.contributor.author	Rashid, Zryan Najat
dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Cibuk, Musa
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2019
dc.identifier.issn	1568-4946
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10058
dc.identifier.uri	https://doi.org/10.1016/j.asoc.2019.105765
dc.description.abstract	Breast cancer (BC) is one of the most frequent types of cancer that adult females suffer from worldwide. Many BC patients face irreversible conditions and even death due to late diagnosis and treatment. Therefore, early BC diagnosis systems based on patho
dc.language.iso	English
dc.publisher	Elsevıer
dc.source	Applıed Soft Computıng
dc.title	Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
dc.type	Article
dc.identifier.doi	10.1016/j.asoc.2019.105765
dc.identifier.wos	WOS:000500691600047
dc.identifier.volume	85

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