論文閱讀《Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images》
Methods a) dataset Three datasets 1. 主要的：500 whole slideimages with magnification levels from 10× to 40× that are annotated with atumor score and a molecular (RNA) proliferation score 2.
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相關文章
- 1. Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
- 2. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
- 3. Sequential modeling of deep features for breast cancer histopathological image classification 論文閱讀
- 4. 論文閱讀《Deep Learning for Identifying Metastatic Breast Cancer》
- 5. A Unified Framework for Tumor ProliferationScore Prediction in Breast Histopathology
- 6. Multitask Classification of Breast Cancer Pathological Images Using SE-DenseNet
- 7. Grand Challenge on Breast Cancer Histology Images
- 8. 《Deep Learning of Graph Matching》論文閱讀
- 9. Machine Learning & Deep Learning 論文閱讀筆記
- 10. 論文閱讀積累：Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images