File size: 2,877 Bytes
9fb51a0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d0c3fdc
9fb51a0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d0c3fdc
9fb51a0
 
 
51cfc77
 
 
 
9fb51a0
 
51cfc77
 
 
 
 
 
 
 
 
 
 
9fb51a0
 
d0c3fdc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9fb51a0
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
{
    "experiment": {
        "dataset": "BraTS2020",
        "evaluation_split": "validation",
        "training_patients": 294,
        "validation_patients": 74,
        "patch_size": [
            64,
            64,
            64
        ],
        "num_classes": 4
    },
    "models": {
        "Baseline 3D U-Net": {
            "repository": "Reduanul1997/RepositoryBaseLine3DuNet",
            "parameters": 22580964,
            "best_model_epoch": 45,
            "training_reported_best_validation_dice": 0.772125,
            "foreground_macro": {
                "Dice": 0.7752109928303947,
                "IoU": 0.6382248216246319,
                "Precision": 0.8174835330605084,
                "Recall": 0.7473307122885059
            },
            "tumor": {
                "Dice": 0.9170132244124318,
                "IoU": 0.846744618755766,
                "Precision": 0.935361335324936,
                "Recall": 0.899371100371264,
                "Sensitivity": 0.899371100371264,
                "FNR": 0.10062889962873361,
                "FPR": 0.01735648436905456,
                "TP": 3808565,
                "TN": 14900765,
                "FP": 263193,
                "FN": 426133
            }
        },
        "SE Attention 3D U-Net": {
            "repository": "Reduanul1997/RepositorySeAttention3DuNet",
            "parameters": 5662146,
            "best_model_epoch": 48,
            "training_reported_best_validation_dice": 0.773046,
            "foreground_macro": {
                "Dice": 0.7610692589733999,
                "IoU": 0.6221029962007719,
                "Precision": 0.8114060556626961,
                "Recall": 0.7258300177342824
            },
            "tumor": {
                "Dice": 0.9216496372309628,
                "IoU": 0.8546847750524318,
                "Precision": 0.9470200761359134,
                "Recall": 0.897603068027069,
                "Sensitivity": 0.897603068027069,
                "FNR": 0.1023969319729286,
                "FPR": 0.013822529972448414,
                "TP": 3758431,
                "TN": 15001209,
                "FP": 210261,
                "FN": 428755
            }
        }
    },
    "metric_comparison_rule": {
        "higher_is_better": [
            "Training-Reported Best Validation Dice",
            "Foreground Macro Dice",
            "Foreground Macro IoU",
            "Foreground Macro Precision",
            "Foreground Macro Recall",
            "Tumor Dice",
            "Tumor IoU",
            "Tumor Precision",
            "Tumor Recall / Sensitivity",
            "Tumor TP",
            "Tumor TN"
        ],
        "lower_is_better": [
            "Tumor FNR",
            "Tumor FPR",
            "Tumor FP",
            "Tumor FN"
        ],
        "no_better_model": [
            "Best Model Epoch"
        ]
    }
}