Man pages for willi3by/niiMLr
Contains Functions to Create ML Models with Neuroimaging Data
| add_dim | Add dim fn. |
| adjust_image_path_windows | Add /mnt/c/ to path to make it compatible with WSL. |
| alline_image | Aligns image to reference image. |
| binary_clever_score | Clever score on l2 norm for binary classification with... |
| build_afni_cmd | Builds command to run in AFNI. |
| build_DeepMedic | Function to build the DeepMedic Network from scratch so it... |
| build_ResNet | Builds ResNet 50 |
| build_ResNet101 | Build ResNet-101 |
| build_ResNet152 | Build ResNet-152 |
| build_ResNet50 | Build ResNet-50 |
| build_UResNet | Build Residual U-Net |
| check_image_max | Get max value of nii. |
| chunk_image | Function to chunk image for fitting into memory. |
| dice | Dice coefficient metric |
| dice_loss | Function to define dice loss for networks |
| extract_highest_diffusion_shell | Extract highest shell of diffusion dataset. |
| extract_pixdims | Title |
| flip_data | Flip fn. |
| get_mask_list | Title |
| gradcam_pp | 3dGradCAM++ |
| hcf | Find highest common factor between 2 numbers, useful for... |
| jaccard_loss | Jaccard loss, better for unbalanced datasets. |
| model_modifier | Builds model modifier for GradCam++ |
| pipe | Pipe |
| repeat_data | Repeat fn. |
| resample_image | Resampling fn. |
| resample_image_afni | Resample image to a particular grid resolution. |
| rgb_to_grayscale | Convert RGB image to grayscale. |
| run_afni_command | Runs afni command. |
| scale_image | Scale fn. |
| set_model_params | Set model parameters. |
| train_model_kfold | Training with K-fold cross-validation. |
| train_model_standard | Standard training function. |
