Man pages for kumeS/rMiW
rMiW - R package for providing the analysis workflow for microscopy-based images
| crop2D | crop2D: Crop image to array |
| dice_coef | 2D Dice coefficient (F1 score) for single label. |
| Display.GIF | Visualization of GIF animation. |
| grapes-or-or-grapes | A new symbol |
| ImageView2D | An image visualization function for the 4D array. |
| ImageView2D_pred | An image visualization function after the model prediction. |
| Img2DClustering | Img2DClustering |
| invert | invert the image |
| iou | 2D IoU (Intersection-Over-Union) for single label |
| list2tensor | Data conversion of list to tensor. |
| list3tensor | Data conversion of list to tensor. |
| list4tensor | Data conversion of list to tensor. |
| lr_schedule | Create learning rate scheduler. |
| model_nodes | Network diagram for the keras model object |
| model.pred | Calculate the prediction results with a binary label |
| processing_2D_image | Create an array data of 3D images |
| Py_plot_model | Create a network diagram for the model object. |
| rasterMiW | rasterMiW: display as a raster image |
| readImageDataset3D | Create an array data of 3D images |
| toGrayScale | convert to the gray scaled image |
| unet2D_v01 | Cretae a model of 2D U-net (v01) |
