Automated segmentation of blood cells in Giemsa stained digitized thin blood films
about
A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears.Computational microscopic imaging for malaria parasite detection: a systematic review.Reduced expression of miR-22 in gastric cancer is related to clinicopathologic characteristics or patient prognosis.The distinct expression patterns of claudin-2, -6, and -11 between human gastric neoplasms and adjacent non-neoplastic tissues.DEC1 is required for anti-apoptotic activity of gastric cancer cells under hypoxia by promoting Survivin expression.
P2860
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2013
@uk
name
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@en
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@nl
type
label
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@en
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@nl
prefLabel
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@en
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@nl
P2093
P2860
P1433
P1476
Automated segmentation of blood cells in Giemsa stained digitized thin blood films
@en
P2093
Johan Lundin
Juho Konsti
Margarita Walliander
Mikael Lundin
Nina Linder
Ville Holmberg
Ville Ojansivu
P2860
P2888
P304
P356
10.1186/1746-1596-8-S1-S37
P433
P50
P577
2013-01-01T00:00:00Z
P6179
1046191891