Table 2 Results (pixel level accuracy) on 8 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 | 94,424,339 | 54,224 | 0.99 | 119,213,206 | 48,864 |
Lamina Propria | 0.99 | 28,939,686 | 177,916 | 0.97 | 52,727,211 | 1,696,663 |
Muscularis Propria | 0.88 | 110,788,573 | 14,326,899 | 0.90 | 22,782,045 | 2,649,277 |
Mucosa | 0.87 | 11,433,732 | 1,750,370 | 0.90 | 37,076,397 | 4,034,633 |
RBC | 0.92 | 9,996,911 | 848,300 | 0.93 | 1,884,697 | 146,841 |
Cautery | 0.62 | 6,424,900 | 3,927,745 | 0.28 | 6,701,447 | 16,835,934 |
Inflammation | 0.94 | 41,268,732 | 2,686,066 | 0.52 | 9,082,821 | 8,235,484 |
Muscularis Mucosa | 0.89 | 1,511,039 | 169,144 | N/A | N/A | N/A |