Objective: Implement the below papers mentioned below using Python TensorFlow Keras Libraries.

$$ Title: "Transforming Medical Imaging: A Comprehensive Review"

$$ Authors: X$.$ Chen, Y$.$ Wang, Z$.$ Zhang

$$ Year: $2019$

$$ Architecture: Transformer $(12$ layers, self$-$attention$)$

$$ Application: Image feature extraction, disease classification

$$ Training: SGD$,$ LR scheduler, Dropout regularization

$$ Metric: ROC$-$AUC, Precision$-$Recall curve

$$ Dataset: Radiology Image Database $($RID$)[$link$]$

Instructions:

$$ Implement the Paper: Utilise the methodologies or algorithms detailed in your chosen paper. Ensure that the URL for the dataset is mentioned clearly.

$$ Code Submission: Upload the Python code. ensuring all outputs are clearly displayed

$$

$$ File Naming Convention: DL$\_$assignment$\_1\_$group##$.$

$$ Libraries: Use TensorFlow$/$Keras