Fetal planes tutorial

[gauthamk02]

Tutorial for training ultrasound classification model using MONAI. This tutorial mostly follows the same format as the MicroUS prostate tutorial added in #3

Dataset Used: https://zenodo.org/records/3904280

The sections in the tutorial are:

1. Downloading Dataset
2. Importing the required libraries
3. Dataset Loading and Cleaning
4. Data Transforms and initializing Dataset and Dataloader classes
5. Classification Model Setup
6. Training Loop with Validation
7. Visualization of Results
8. Model Evaluation

Please go through it and let me know if I have to make any changes.

[gauthamk02]

You can view and run the notebook here: https://colab.research.google.com/github/gauthamk02/wg-ultrasound/blob/fetal-planes-tutorial/data_and_tutorials/fetal_planes.ipynb#

[tanya-akumu]

Nice and clear structure for the tutorial. It is easy to follow.

Here's some feedback from my review:

1. The code cell in section 5 prints out "DenseNet121" as the model name yet "efficientnet-b0" is the model downloaded from monai. Please correct the model name print out.
2. Data structure of the downloaded dataset is not clear. I suggest adding a markdown cell briefly explaining the dataset structure to help users understand how they can adapt their own dataset

Nice to have:

• Add brief explanation of augmentations/transforms used
• set seed for reproducibility
• add markdown describing what is visualized in section 7 second code cell.
• add small documentation for section 8 model evaluation including metrics selected and a short insight of results obtained

[gauthamk02]

Thanks for the review @tanya-akumu, ive made the changes and updated the notebook. Please take a look when you can 🙌