1. Data Selection Data was selected based on assessment made using different tools

2. Data Pre processing Handle the missing projection case. Extract useful data.

3. Data Pre processing (Continued) Create sonogram by extracting n th row of each raw file. Stack them together to form 1500*1024*1024 array

4. Data Pre processing(Continued) Raw data in in unit8 format. This was normalized in the range of [0,1].

5. Next step DenseNet has proven ability for classification. Next task is to discuss and change the network as per the inverse problem to generate results.