SSG-VQA-Net for MIMIC-CXR Visual Question Answering
Model Description
This model adapts the SSG-VQA-Net architecture for chest X-ray visual question answering
using the MIMIC-CXR-JPG images and MIMIC-Ext-CXR-QBA question-answer pairs.
Architecture
Visual Backbone
: ConvNeXt-Base (pre-trained on ImageNet-22k)
Text Encoder
: Bio+ClinicalBERT (medical domain)
Scene Graph
: Expanded 134-dim embeddings (310 regions, 237 entities)
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