Pages that link to "Item:Q1980107"
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The following pages link to Breast cancer mitotic cell detection using cascade convolutional neural network with U-net (Q1980107):
Displaying 11 items.
- Faster R-CNN with improved anchor box for cell recognition (Q1979630) (← links)
- Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network (Q1982424) (← links)
- Multilevel thresholding using a modified ant lion optimizer with opposition-based learning for color image segmentation (Q1984041) (← links)
- Design and analysis of a robust breast cancer diagnostic system based on multimode MR images (Q1984103) (← links)
- Direct cellularity estimation on breast cancer histopathology images using transfer learning (Q2003647) (← links)
- Automatic extraction of cell nuclei using dilated convolutional network (Q2028918) (← links)
- BreaCNet: a high-accuracy breast thermogram classifier based on mobile convolutional neural network (Q2130180) (← links)
- Automated knowledge-assisted mitosis cells detection framework in breast histopathology images (Q2130230) (← links)
- Multistage classification of oral histopathological images using improved residual network (Q2130251) (← links)
- Automatic detection of breast cancer mitotic cells based on the combination of textural, statistical and innovative mathematical features (Q2285322) (← links)
- Cascade sparse convolution and decision tree ensemble model for nuclear segmentation in pathology images (Q4998058) (← links)