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Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study

Crossref DOI link: https://doi.org/10.1007/s13246-019-00742-9

Published Online: 2019-03-04

Published Print: 2019-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hegde, Roopa B.

Prasad, Keerthana

Hebbar, Harishchandra

Singh, Brij Mohan Kumar
License Information

Text and Data Mining valid from 2019-03-04
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Article History

Received: 19 March 2018

Accepted: 25 February 2019

First Online: 4 March 2019

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

: Peripheral blood smear images are obtained from Kasturba Medical College (KMC). This study does not involve human subjects. KMC obtains patient content for using the de-identified archieve data for research purposes.