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
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
978-3-030-30644-1
978-3-030-30645-8
Springer Verlag
berlin heidelberg
SVIZZERA
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
Ricci E., Rota Bulò S., Snoek C., Lanz O., Messelodi S., Sebe N.
11752
47
58
12
https://www.springer.com/series/558
20th International Conference on Image Analysis and Processing, ICIAP 2019
Contributo
Esperti anonimi
9- 13 September 2019
Trento, Italy
internazionale
scientifica
Cell counting; Edge Boxes; Peripheral blood cell images; Region proposal
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Di Ruberto, C.; Loddo, A.; Putzu, L.
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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