Add TransCheX Tutorial

Signed-off-by: ahatamizadeh <ahatamizadeh@nvidia.com>

Author: ahatamiz

multimodal/openi_multilabel_classification_transchex/README.md

@@ -0,0 +1,24 @@
+# Preprocessing Open-I Dataset
+
+The Open-I dataset provides a collection of 3,996 radiology reports 
+with 8,121 associated images in PA, AP and lateral views. In this tutorial, we utilize the images from fronal view with their corresponding reports for training and 
+evaluation of the TransChex model. The chest x-ray images and reports are originally from the Indiana University hospital (see the licencing information below). 
+The 14 finding categories in this work include Atelectasis, Cardiomegaly, Consolidation, Edema, Enlarged-Cardiomediastinum, Fracture, Lung-Lesion, Lung-Opacity, No-Finding, Pleural-Effusion, Pleural-Other, Pneumonia, Pneumothorax and Support-Devices. More information can be found in the following link:      
+https://openi.nlm.nih.gov/faq
+
+License: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
+
+In this section, we provide the steps that are needed for preprocessing the Open-I dataset for
+the multi-label disease classification tutorial using TransCheX model. As a result, once the following steps are
+completed, the dataset can be readily used for the tutorial. 
+
+### Preprocessing Steps
+1) Create a new folder named 'monai_data' for downloading the raw data and preprocessing. 
+2) Download the chest X-ray images in PNG format from this [link](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_png.tgz). Copy the downloaded file (NLMCXR_png.tgz)
+to 'monai_data' directory and extract it. 
+3) Download the reports in XML format from this [link](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_reports.tgz). Copy the downloaded file (NLMCXR_reports.tgz)
+to 'monai_data' directory and extract it.
+4) Download the splits of train, validation and test datasets from this [link](https://drive.google.com/u/1/uc?id=1_CThgwbDQPeTrr2Gvi6zflqr32_5t87j&export=download). Copy the downloaded file (TransChex_openi.zip)
+to 'monai_data' directory and extract it.
+5) Run 'preprocess_openi.py' to process the images and reports.  
+