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# Visualization config for gliomasam3_moe
# Output: vis_res/ (each visualization type in a separate subfolder)
data:
format: "segmamba_npz"
root_dir: "/data/yty/brats23_segmamba_processed"
npz_dir: "/data/yty/brats23_segmamba_processed"
modalities: ["t1n", "t1c", "t2f", "t2w"]
seg_name: "seg"
predictions:
ours:
name: "GliomaSAM3-MoE"
dir: "/root/githubs/gliomasam3_moe/vis_res/predictions_ours"
type: "label"
baselines:
- name: "SegMamba"
dir: "/root/githubs/SegMamba/prediction_results/segmamba_brats23_ep799"
type: "segmamba_3c"
aux_dir: "/root/githubs/gliomasam3_moe/vis_res/aux_cache"
visualization:
output_dir: "/root/githubs/gliomasam3_moe/vis_res"
overlay_modality: "t1c"
alpha: 0.45
colors:
WT: [1.0, 0.85, 0.0]
TC: [0.0, 1.0, 0.25]
ET: [1.0, 0.0, 0.0]
boundary_region: "ET"
frag_bins: [1, 3, 5]
scale_bins: [50, 200, 500]
# Case selection
cases:
# 1) Main qualitative comparison (Ours vs SegMamba)
qualitative:
- "BraTS-GLI-00005-000"
- "BraTS-GLI-00006-000"
- "BraTS-GLI-00017-000"
# 2) ET-absent case study (best candidate with highest pre/post diff)
et_absent:
- "BraTS-GLI-00012-000"
# 3) Boundary-focused visualization
boundary:
- "BraTS-GLI-00005-000"
- "BraTS-GLI-00017-000"
# 4) Tiny/fragmented ET cases
tiny_et:
- "BraTS-GLI-00005-000"
- "BraTS-GLI-00006-000"
# 5) Cross-year robustness (placeholder - needs cross-year data)
cross_year: {}
# 6) MoE routing interpretability
moe:
- "BraTS-GLI-00018-000"
- "BraTS-GLI-00012-000"
# 7) Concept tokens interpretability
concept_tokens:
- "BraTS-GLI-00005-000"
- "BraTS-GLI-00006-000"
# 8) Dual-domain enhancement effect
dual_domain:
- "BraTS-GLI-00005-000"
- "BraTS-GLI-00017-000"
# 9) Augmentation robustness (AmpMix)
ampmix:
- base: "BraTS-GLI-00005-000"
mix: "BraTS-GLI-00006-000"
lam: 0.5
# 10) Failure cases / limitations
failure:
- "BraTS-GLI-00020-000"
failure_notes:
"BraTS-GLI-00020-000": "potential boundary ambiguity"
# 11) Efficiency / inference visualization
efficiency:
case_id: "BraTS-GLI-00005-000"
roi_size: [128, 128, 128]
overlap: 0.5