Research map / Detection and segmentation / CNN features
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| cascade of FCN coarse retrieval plus CNN fine discrimination | mitosis detection · 2012 ICPR MITOSIS | F1: 0.782 -> 0.788 | No clear effect |
| cascade of FCN coarse retrieval plus CNN fine discrimination | mitosis detection · 2014 ICPR MITOSIS | F1: 0.356 -> 0.482 | Helped |
| initialize fine model with transferred pretrained weights (ablation) | CasNN · 2012 ICPR MITOSIS | F1: 0.716 -> 0.745 | Helped |
| initialize fine model with transferred pretrained weights (ablation) | CasNN · 2014 ICPR MITOSIS | F1: 0.389 -> 0.442 | Helped |
| model averaging (ablation) | CasNN · 2014 ICPR MITOSIS | F1: 0.442 -> 0.482 | Helped |
| add fine discrimination stage after coarse retrieval (ablation) | CasNN · 2012 ICPR MITOSIS | F1: 0.342 -> 0.788 | Helped |
| cascade instead of sliding-window DNN | mitosis detection · 2012 ICPR MITOSIS | processing time per HPF | Helped |
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