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Copy pathzero_shot_analysis_summary.json
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74 lines (74 loc) · 1.51 KB
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{
"pannuke_classes": {
"0": "Neoplastic",
"1": "Inflammatory",
"2": "Connective_Soft_tissue",
"3": "Dead",
"4": "Epithelial"
},
"suitable_datasets": [
"CoNIC",
"CoNSeP",
"MoNuSAC",
"Lizard"
],
"unsuitable_datasets": [
"BreakHis",
"LC25000"
],
"limited_datasets": [
"MoNuSeg"
],
"class_mappings": {
"CoNSeP": {
"2": "Inflammatory",
"3": "Epithelial",
"4": "Neoplastic",
"5": "Connective_Soft_tissue"
},
"CoNIC": {
"1": "Inflammatory",
"2": "Epithelial",
"3": "Inflammatory",
"4": "Inflammatory",
"5": "Inflammatory",
"6": "Connective_Soft_tissue"
},
"Lizard": {
"1": "Inflammatory",
"2": "Epithelial",
"3": "Inflammatory",
"4": "Inflammatory",
"5": "Inflammatory",
"6": "Connective_Soft_tissue"
},
"MoNuSAC": {
"Epithelial": "Epithelial",
"Lymphocyte": "Inflammatory",
"Macrophage": "Inflammatory",
"Neutrophil": "Inflammatory"
}
},
"evaluation_priority": [
{
"dataset": "CoNIC",
"priority": 1,
"reason": "Easy NumPy format, 4981 patches"
},
{
"dataset": "CoNSeP",
"priority": 2,
"reason": "HoVer-Net benchmark, has Neoplastic class"
},
{
"dataset": "MoNuSAC",
"priority": 3,
"reason": "Multi-organ, tests generalization"
},
{
"dataset": "Lizard",
"priority": 4,
"reason": "Large scale, requires preprocessing"
}
]
}