2019
DOI: 10.1007/978-3-030-30648-9_46
|View full text |Cite
|
Sign up to set email alerts
|

Classification of Plasmodium-Infected Erythrocytes Through Digital Image Processing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…The 3D reconstruction of the aorta was then performed using image-processing software Invesalius 3.1 (CTI, Brazil). The regions of interest (true and false lumens) were captured by applying to each CT-slice the watershed segmentation method [30], which is based on the grayscale intensity of the images. The marching cubes algorithm [29] was then applied automatically on the stacked and segmented slices to form the 3D surface with triangular grids.…”
Section: Geometriesmentioning
confidence: 99%
“…The 3D reconstruction of the aorta was then performed using image-processing software Invesalius 3.1 (CTI, Brazil). The regions of interest (true and false lumens) were captured by applying to each CT-slice the watershed segmentation method [30], which is based on the grayscale intensity of the images. The marching cubes algorithm [29] was then applied automatically on the stacked and segmented slices to form the 3D surface with triangular grids.…”
Section: Geometriesmentioning
confidence: 99%