Table 1 Usage of datasets from multicenter data source
From: Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence
Data source | Dataset usage | Sample preparation | Examination type Radical surgery/colonoscopy | Population* | CRC | Non-CRC | Total | |||
|---|---|---|---|---|---|---|---|---|---|---|
Subjects | Slides | Subjects | Slides | Subjects | Slides | |||||
Xiangya Hospital (XH) | A | FFPE | 100% / 0% | Changsha, China | 614 | 614 | 228 | 228 | 842 | 842 |
NCT-UMM (NCT-CRC-HE-100 K) | B | FFPE | NA | Germany | NA | NA | NA | NA | NA | 86 |
NCT-UMM (CRC-VAL-HE-7 K) | B | FFPE | NA | Germany | NA | NA | NA | NA | NA | 25 |
XH | C | FFPE | 80% / 20% | Changsha, China | 3990 | 7871 | 1849 | 2132 | 5839 | 10,003 |
XH | D | FFPE | 89% / 11% | Changsha, China | 98 | 99 | 97 | 114 | 195 | 213 |
Pingkuang Collaborative Hospital (PCH) | C & D | FFPE | 60% / 40% | Jiangxi, China | 50 | 50 | 46 | 46 | 96 | 96 |
The Third Xiangya Hospital of CSU (TXH) | C & D | FFPE | 61% / 39% | Changsha, China | 48 | 70 | 48 | 65 | 96 | 135 |
Hunan Provincial People’s Hospital (HPH) | C & D | FFPE | 61% / 39% | Changsha, China | 49 | 50 | 49 | 49 | 98 | 99 |
ACL | C & D | FFPE | 22% / 78% | Changsha, China | 100 | 100 | 107 | 107 | 207 | 207 |
Fudan University Shanghai Cancer Center (FUS) | C & D | FFPE | 97% / 3% | Shanghai, China | 100 | 100 | 98 | 98 | 198 | 198 |
Guangdong Provincial People’s Hospital (GPH) | C & D | FFPE | 77% / 23% | Guangzhou, China | 100 | 100 | 85 | 85 | 185 | 185 |
Nanjing Drum Tower Hospital (NJD) | C & D | FFPE | 96% / 4% | Nanjing, China | 100 | 100 | 97 | 97 | 197 | 197 |
Southwest Hospital (SWH) | C & D | FFPE | 93% / 7% | Chongqing, China | 99 | 99 | 100 | 100 | 199 | 199 |
The First Affiliated Hospital Air Force Medical University (AMU) | C & D | FFPE | 95% / 5% | Xi’an, China | 101 | 101 | 104 | 104 | 205 | 205 |
Sun Yat-Sen University Cancer Center (SYU) | C & D | FFPE | 100% / 0% | Guangzhou, China | 91 | 91 | 6 | 6 | 97 | 97 |
Chinese PLA General Hospital (CGH) | C | FFPE | NA | Beijing, China | 0 | 0 | 100 | 100 | 100 | 100 |
TCGA (TCGA-Frozen) | C | Frozen | 100% / 0% | U.S. | 631 | 1214 | 110 | 133 | 631** | 1347 |
TCGA (TCGA-FFPE) | C | FFPE | 100% / 0% | U.S. | 441 | 441 | 5 | 5 | 446 | 446 |
Total | 6612 | 11,100 | 3129 | 3469 | 9631 | 14,680 | ||||