-
1
A sample of DSDS spleen dataset: (a) Raw image; (b) Ground truth (spleen region is indicated as green color); (c) 3D display.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
2
-
3
Impacts of pruning and quantization on the model performances.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
4
Qualitative comparison of spleen segmentation results on the MSD dataset: (a) Input CT slice, (b) Ground Truth (red boundary), (c) UPerNet prediction, (d) EMANet prediction, (e) CC...
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
5
Segmentation accuracy of the models.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
6
The process of standard convolution and depthwise separable convolution.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
7
Training and implementation details.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
8
A sample of MSD spleen dataset: (a) Raw image; (b) Ground truth (spleen region is indicated as green color); (c) 3D display.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
9
Qualitative comparison of spleen segmentation results on the DSDS: (a) Input CT slice, (b) Ground Truth (red boundary), (c) UPerNet prediction, (d) EMANet prediction, (e) CCNet pre...
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
10
Fold assignments for each evaluation round.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
11
Studies on the use of 2D CNN-based models for spleen segmentation from 3D CT images.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
12
Computational efficiency of the models.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”
-
13
Summary of key architectural modifications and hyperparameter adjustments from the U-Net to SVNC-Net.
Publicerad 2025Övriga upphovsmän: “…Yaser Dalveren (22683529)…”