Abstract:
After recovery, many Covid Patients have a post-corona effect, and the most common is a lung
infection (Pneumonia) in treatment response of this the first things that are done are taking X-rays
and creating Reports. Medical images like X-rays, CT scans, and MRIs possess a lot of information
in them, like the possible presence of some pathologies or the changes in the normal functioning
of the organs. The information present in this data get transcribed by Radiologists in plain text
reports, which summarise the crucial findings from the images. We are trying to create the medical
report generation using artificial intelligence, more precisely using LSTM and Convolutional
Neural Network. We want to propose the best method for generating text medical reports by comparing
the hierarchical encoder-decoder network with and without attention mechanism. We have
approached Models computationally and doesn’t get into depth of Mathematics.
