medical visual question answering - Axtarish в Google
19 нояб. 2021 г. · Abstract:Medical Visual Question Answering~(VQA) is a combination of medical artificial intelligence and popular VQA challenges.
Medical image visual question answering (VQA) is a task to answer clinical questions, given a radiographic image, which is a challenging problem that requires a ...
Medical Visual Question Answering (VQA) is a combination of medical artificial intelligence and popular VQA challenges. Given a medical image and a ...
17 мая 2023 г. · We establish a scalable pipeline to construct a large-scale medical visual question-answering dataset, named PMC-VQA, which contains 227k VQA pairs of 149k ...
PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.
Medical Visual Question Answering (Med-VQA) helps answer medical questions raised by patients automatically so as to relieve the shortage of experienced ...
PMC-VQA is a large-scale medical visual question-answering dataset that contains 227k VQA pairs of 149k images that cover various modalities or diseases.
In this paper, we focus on the problem of Medical Visual Question Answering (MedVQA), which is crucial in efficiently interpreting medical images carrying vital ...
16 июл. 2024 г. · Given a medical image and a question in natural language, medical VQA systems are required to predict clinically relevant answers.
20 мар. 2023 г. · A mature medical visual question answering system (VQA) can improve diagnosis by answering clinical questions presented with a medical image.
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