Table 3 Results (pixel level accuracy) on 12 layered U-Net architecture initialized using He Normal. a) Results on the validation slides in dataset S1. b) Results on the test slides in dataset S1
From: Semantic segmentation to identify bladder layers from H&E Images
a | b | |||||
|---|---|---|---|---|---|---|
Accuracy | True Positive | False Negative | Accuracy | True Positive | False Negative | |
Background | 0.99 | 91,488,149 | 672,063 | 0.99 | 119,216,562 | 45,508 |
Lamina Propria | 0.99 | 27,861,365 | 278,336 | 0.98 | 53,285,338 | 1,138,536 |
Muscularis Propria | 0.87 | 105,691,097 | 15,302,863 | 0.88 | 22,362,961 | 3,068,361 |
Mucosa | 0.90 | 11,391,120 | 1,289,356 | 0.97 | 39,830,580 | 1,280,450 |
RBC | 0.99 | 10,701,972 | 143,239 | 0.93 | 1,896,309 | 135,229 |
Cautery | 0.64 | 6,612,587 | 3,740,058 | 0.41 | 9,610,122 | 13,927,259 |
Inflammation | 0.97 | 41,619,905 | 1,393,986 | 0.41 | 7,082,849 | 10,235,456 |
Muscularis Mucosa | 0.84 | 1,371,094 | 258,490 | N/A | N/A | N/A |