mriutils 1.2.18

A simple common utils and models package

A simple common utils and models package for MRI analysis.

## Functions implemented in MRIUtils

• Train: from mriutils.train import Train

• Test: from mriutils.test import Test

### Examples

• CUBE-UNet3D for LVMVM dataset: from mriutils.examples.test_ear3d_lvmvm import Test

### Datasets

• ACDC: from mriutils.datasets.acdc import LoadACDC

• BraTS: from mriutils.datasets.brats import LoadBraTS

• MRBrainS: from mriutils.datasets.mrbrains import LoadMRBrainS

• H5 files: from mriutils.datasets.lvmvm import LoadH5

• MMWHS: from mriutils.datasets.mmwhs import LoadMMWHS

• Other *.png datasets: from mriutils.datasets.pngs import LoadPNGS

### Utils

• Save files:

  • *.npy: from mriutils.utils.tonpy import SaveDataset

  • *.nii/*.nii.gz: from mriutils.utils.tonii import SaveNiiFile

• Load and save single *.npy: from mriutils.utils.data import Data

• Load *.npy datasets: from mriutils.utils.load_data import LoadData

• Normalization: from mriutils.utils.norm import Normalization

• Resize: from mriutils.utils.resize import Resize

• Show single-layer single-channel images: from mriutils.utils.show import Show

• Plot lines: from mriutils.utils.plots import Plots

• Timer: from mriutils.utils.timer import Timer

### Models

• 2D-UNet: from mriutils.models.unet import UNet

• 3D-UNet: from mriutils.models.unet3d import UNet3D

• CUBE-UNet3D: from mriutils.models.cube_unet3d import CUBE_UNet3D

• Losses: from mriutils.models.modules.losses import Loss

• Metrics: from mriutils.models.modules.metrics import Metric

### Metrics

• Metrics for MRI Segmentation: from mriutils.metrics.segmentation import Segmentation

• Metrics for MRI Synthesis: from mriutils.metrics.synthesis import Synthesis