| LN |
Differentiate DLBCL, BL, SLL, and benign |
128 |
CNN on manually cropped area |
None |
Internal |
Accuracy 95% |
Achi et al., 2019[@364852] |
| LN |
Differentiate DLBCL from various benign and malignant LN samples |
1,754 |
Majority-voting of 17 CNNs on manually cropped area |
None |
External |
Accuracy >99% |
Li et al., 2020[@364853] |
| LN |
Differentiate DLBCL, FL, and benign |
388 |
CNN on manually cropped area |
None |
Internal |
Accuracy 90%
AUC 0.95 |
Miyoshi et al., 2020[@364854] |
| LN |
Differentiate DLBCL, SLL, and benign |
629 |
CNN on manually cropped area |
None |
External |
Accuracy 96% |
Steinbuss et al., 2021[@364855] |
| LN and other biopsy sites |
Predict MYC rearrangement on H&E stained DLBCL WSIs |
287 |
CNN |
Not clearly specified |
External |
Accuracy 74%
AUC 0.83 |
Swiderska-Chadaj et al., 2021[@364856] |
| LN |
Differentiate FL and benign hyperplasia |
378 |
CNN |
Mean pooling |
External |
AUC 0.66 |
Syrykh et al., 2020[@364857] |
| Skin |
Annotate CD30+ regions on CD30-stained WSIs to diagnose CD30+ LPD |
28 |
CNN |
Local self-attention, sum pooling |
Internal |
Accuracy 96%
AUC 0.99 |
Zheng et al., 2023[@364858] |
| BM |
Predict mutations on H&E stained MDS WSIs |
236 |
Pretrained CNN |
Mean pooling |
Internal |
AUC varies on mutations, as high as 0.94 |
Bruck et al., 2021[@364859] |
| BM |
Differentiate AML, CML, ALL, CLL, and MM |
129 |
Pretrained CNN |
Attention |
External |
Accuracy 94%
AUC 0.97 |
Wang et al., 2022[@364860] |
| BM |
Differentiate ET and prePMF |
226 |
Pretrained CNN |
Attention |
Internal |
Accuracy 92%
AUC 0.90 |
Srisuwananukorn et al., 2023[@364861] |
| BM |
Differentiate AL, MM, LPD, and normal |
556 |
Pretrained YOLO for cell detection and feature extraction |
Attention |
Internal |
Average F1 score 0.57 |
Mu et al, 2023[@364862] |