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SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets
2021
Conference and Labs of the Evaluation Forum
The Visual Question Answering (VQA) in the medical domain attains tremendous advancement in last few years. To improvise the VQA research, ImageCLEF forum is organizing the fourth edition of VQA task in medical domain. This year, the abnormality related VQA queries are to be answered for the given set of radiology images. In the proposed system, VGGNet based on transfer learning approach and LSTM is used to extract image and text features respectively. The extracted three dimensional
dblp:conf/clef/SitaraS21
fatcat:7j224ar465fj5nyzr3btjdkiiq