【WSI】《Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images》
MDPI-2018 目錄 目錄 1 Motivation 2 Advantages 3 Previous Work 4 Materials and Methods 4.1 Datasets 4.2 Faster R-CNN 4.3 Experiments settings 5 Results 5.1 Experiments 5.2 Post-Evaluation 6 Discussion 代碼 參
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相關文章
- 1. Clinical grade computional pathology using weakly supervised deep learning on whole slide images
- 2. Boxy Vehicle Detection in Large Images
- 3. Whole-Body Human Pose Estimation in the Wild
- 4. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
- 5. UniPose: Unified Human Pose Estimation in Single Images and Videos
- 6. Faster-RCNN：Target detection model in Keras
- 7. Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Datas
- 8. 使用openslide-python對whole slide image（WSI）進行讀取、顯示和金字塔構建、生成tiles
- 9. Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
- 10. Geeks Weigh In: Does a Human Think Faster Than a Computer?