A summary of publicly available nuclei segmentation datasets.
| Dataset | Number of Training Images | Number of Testing Images | Nuclei Count | Organs Included | Magnification Level |
|---|---|---|---|---|---|
| MoNuSeg [47] | 30 | 14 | 21,623 | 7 (Breast, Liver, Kidney, Prostate, Bladder, Colon, Stomach) | 40 × |
| Kumar [48] | 16 | 14 | 21,623 | 7 (Breast, Liver, Kidney, Prostate, Bladder, Colon, Stomach) | 40 × |
| CPM-15 | 15 | 2,905 | 2 | 40×, 20× | |
| CPM-17 [100] | 32 | 32 | 7,570 | 4 | 40×, 20× |
| CoNSeP [24] | 27 | 14 | 24,319 | 1 (Colorectal Adeno-carcinoma) | 40× |
| TNBC [66] | 50 | 4,056 | 1 (Breast) | 40× | |
| CRCHisto [93] | 50 | 50 | 29,756 | 1 (Colon) | 20× |
| Data Science Bowl 2018 [7] | 536 | 134 | 37,333 | Combination of tissue from humans, mice and flies | Mixed |
| Lung Cancer Dataset [74] | 24 | 16 | 24,401 | Lung Adenocarcinoma | 20× |
| Dataset | Number of Training Images | Number of Testing Images | Nuclei Count | Organs Included | Magnification Level |
|---|---|---|---|---|---|
| MoNuSeg [ | 30 | 14 | 21,623 | 7 (Breast, Liver, Kidney, Prostate, Bladder, Colon, Stomach) | 40 × |
| Kumar [ | 16 | 14 | 21,623 | 7 (Breast, Liver, Kidney, Prostate, Bladder, Colon, Stomach) | 40 × |
| CPM-15 | 15 | 2,905 | 2 | 40×, 20× | |
| CPM-17 [ | 32 | 32 | 7,570 | 4 | 40×, 20× |
| CoNSeP [ | 27 | 14 | 24,319 | 1 (Colorectal Adeno-carcinoma) | 40× |
| TNBC [ | 50 | 4,056 | 1 (Breast) | 40× | |
| CRCHisto [ | 50 | 50 | 29,756 | 1 (Colon) | 20× |
| Data Science Bowl 2018 [ | 536 | 134 | 37,333 | Combination of tissue from humans, mice and flies | Mixed |
| Lung Cancer Dataset [ | 24 | 16 | 24,401 | Lung Adenocarcinoma | 20× |
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