In this paper, we propose a novel and efficient method for detecting and quantifying red cells from a microscopic blood image. The proposed system is based on a region proposal approach, namely the Edge Boxes, considered as the state-of-art region proposal method. Incorporating knowledge-based constraints into the detection process by Edge Boxes we can find cells proposals rapidly and efficiently. Experimental results on a well-known public dataset show both improved accuracy and increased over the state-of-art.

A region proposal approach for cells detection and counting from microscopic blood images

Di Ruberto C.
;
Loddo A.
;
Putzu L.
2019-01-01

Abstract

In this paper, we propose a novel and efficient method for detecting and quantifying red cells from a microscopic blood image. The proposed system is based on a region proposal approach, namely the Edge Boxes, considered as the state-of-art region proposal method. Incorporating knowledge-based constraints into the detection process by Edge Boxes we can find cells proposals rapidly and efficiently. Experimental results on a well-known public dataset show both improved accuracy and increased over the state-of-art.
2019
978-3-030-30644-1
978-3-030-30645-8
Cell counting; Edge Boxes; Peripheral blood cell images; Region proposal
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/281095
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