Pathology visual question answering (PathVQA) aims to enable computers to answer questions about clinical visual findings from pathology images.
Jul 11, 2023
Oct 6, 2020 · How to learn effective representations of diverse medical concepts based on limited data is technically demanding. In this paper, we aim to ...
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Pathology visual question answering (PathVQA) attempts to answer a medical question posed by pathology images. Despite its great potential in healthcare, it ...
Dec 13, 2020 · The March 2020 paper “PathVQA: 30000+ Questions for Medical Visual Question Answering” [5] seeks to develop a large set of images, questions, ...
To achieve this goal, we launch this medical visual question answering (VQA) challenge where deep learning models are to be developed for interpreting pathology ...
Abstract. Pathology imaging is broadly used for identifying the causes and effects of diseases or injuries. Given a pathology image, being able to answer ...
Is it possible to develop an “AI Pathologist” to pass the board-certified examina- tion of the American Board of Pathology (ABP)? To build such a system, ...
Oct 6, 2020 · Given a pathology image and a question, the examinees are asked to select a correct answer. Such a problem is called visual question answering ...
PathVQA consists of 32,799 open-ended questions from 4,998 pathology images where each question is manually checked to ensure correctness.
Feb 17, 2024 · This thesis introduces Pathological-Llama, an explainable medical visual question answering system that integrates computer vision and ...