PitVQA: A Dataset of Visual Question Answering in Pituitary Surgery

<p dir="ltr">PitVQA dataset comprises 25 videos of endoscopic pituitary surgeries from the National Hospital of Neurology and Neurosurgery in London, United Kingdom, similar to the dataset used in the MICCAI PitVis challenge. All patients provided informed consent, and the study was...

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Bibliographic Details
Main Author:	Mobarack Islam (13180839) (author)
Other Authors:	Matt Clarkson (6771092) (author), Sophia Bano (6773012) (author), Danail Stoyanov (6778706) (author), Hani Marcus (6766427) (author)
Published:	2024
Subjects:	Biomedical imaging Intelligent robotics Natural language processing Computer vision Image processing Multimodal analysis and synthesis Visual Question Answering (VQA) large language models in medicine Large language models (LLMs) in healthcare Vision Language Models Pituitary surgery artificial intelligence analysis surgical data science
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PitVQA: A Dataset of Visual Question Answering in Pituitary Surgery

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