Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6075
Title: Medical Report Generation Model
Authors: Kulkarni, Viraj
GUPTA, PAWAN
Dept. of Data Science
20161038
Keywords: Medical Report Generation Model
Issue Date: Jul-2021
Citation: 42
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.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6075
Appears in Collections:MS THESES

Files in This Item:
File Description SizeFormat 
MS Thesis.pdf987.17 kBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.