PitVQA: A Dataset of Visual Question Answering in Pituitary Surgery

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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