Hugging Face's logo

Emirinth
/
ctfast-bleed-detector

Image Classification
PyTorch
medical-imaging
ct
intracranial-hemorrhage
Model card Files
xet
 Community
ctfast-bleed-detector
File size: 1,724 Bytes
4a698f4
cdce1fb
 
4a698f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cdce1fb
 
4a698f4
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
{
  "architecture": "efficientnet_b0.ra_in1k",
  "input_windows": [
    "brain",
    "subdural",
    "stored_range"
  ],
  "context_slices": 1,
  "image_size": 256,
  "outputs": [
    "any",
    "epidural",
    "intraparenchymal",
    "intraventricular",
    "subarachnoid",
    "subdural"
  ],
  "threshold": 0.3292989730834961,
  "threshold_source": "RSNA validation patients",
  "target_sensitivity": 0.95,
  "validation_metrics": {
    "threshold": 0.3292989730834961,
    "scans": 1065,
    "bleeds": 426,
    "tp": 405,
    "fn": 21,
    "fp": 34,
    "tn": 605,
    "recall": 0.9507,
    "recall_ci": [
      0.9258,
      0.9675
    ],
    "specificity": 0.9468,
    "specificity_ci": [
      0.9266,
      0.9617
    ],
    "precision": 0.9226,
    "npv": 0.9665,
    "accuracy": 0.9484,
    "balanced_accuracy": 0.9487,
    "f1": 0.9364,
    "mcc": 0.8932,
    "auc": 0.9883,
    "auc_ci": [
      0.9826,
      0.9931
    ],
    "average_precision": 0.986
  },
  "review_threshold": 0.052187759429216385,
  "review_sensitivity": 0.99,
  "review_metrics": {
    "threshold": 0.052187759429216385,
    "scans": 1065,
    "bleeds": 426,
    "tp": 422,
    "fn": 4,
    "fp": 147,
    "tn": 492,
    "recall": 0.9906,
    "recall_ci": [
      0.9761,
      0.9963
    ],
    "specificity": 0.77,
    "specificity_ci": [
      0.7358,
      0.8009
    ],
    "precision": 0.7417,
    "npv": 0.9919,
    "accuracy": 0.8582,
    "balanced_accuracy": 0.8803,
    "f1": 0.8482,
    "mcc": 0.747,
    "auc": 0.9883,
    "auc_ci": [
      0.9826,
      0.9931
    ],
    "average_precision": 0.986
  },
  "trained_at": "2026-11-08 22:59"
}