Search alternatives:
segmentation algorithm » selection algorithm (Expand Search)
process segmentation » process recommendation (Expand Search), cell segmentation (Expand Search), process simulation (Expand Search)
codon optimization » wolf optimization (Expand Search)
research process » research proposes (Expand Search), research projects (Expand Search), research project (Expand Search)
binary research » primary research (Expand Search), bioenergy research (Expand Search), biology research (Expand Search)
binary b » binary _ (Expand Search)
b codon » _ codon (Expand Search), b common (Expand Search)
segmentation algorithm » selection algorithm (Expand Search)
process segmentation » process recommendation (Expand Search), cell segmentation (Expand Search), process simulation (Expand Search)
codon optimization » wolf optimization (Expand Search)
research process » research proposes (Expand Search), research projects (Expand Search), research project (Expand Search)
binary research » primary research (Expand Search), bioenergy research (Expand Search), biology research (Expand Search)
binary b » binary _ (Expand Search)
b codon » _ codon (Expand Search), b common (Expand Search)
-
1
-
2
Analysis of segmentation method’s performance.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
3
Segmentation model performance assessment.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
4
Algorithm framework of this paper.
Published 2024“…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…”
-
5
Challenging images performance assessment.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
6
Homomorphic filter output on each channel.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
7
The proposed model.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
8
Output of Wiener filter on each RGB channel.
Published 2023“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”
-
9
-
10
PathOlOgics_RBCs Python Scripts.zip
Published 2023“…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …”
-
11
3D Microvascular Image Data and Labels for Machine Learning
Published 2024“…The image data has been processed using an asymmetric deconvolution algorithm described by Walsh et al., 2020. …”
-
12
-
13
-
14
-
15
Dense block structure.
Published 2024“…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…”
-
16
Structure diagram of a transition layer.
Published 2024“…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…”
-
17
Dense-U-net network structure.
Published 2024“…The proposed algorithm has the best performance in tumor core area segmentation, and its Sensitivity index has reached 0.924, which has good research significance and application value.…”
-
18