7 мар. 2020 г. · We collect 32,799 open-ended questions from 4,998 pathology images where each question is manually checked to ensure correctness. To our best ...

The dataset contains 32,799 open-ended questions from 4,998 pathology images. The dataset is built from two publicly-available pathology textbooks: “Textbook of ...

PathVQA consists of 32,799 open-ended questions from 4,998 pathology images where each question is manually checked to ensure correctness.

This work develops a semi-automated pipeline to extract pathology images and captions from textbooks and generate question-answer pairs from captions using ...

PathVQA is a dataset of question-answer pairs on pathology images. The dataset is intended to be used for training and testing Medical Visual Question Answering ...

9 нояб. 2023 г. · Introduction. The paper aims to create a pathology visual question answering (VQA) dataset that contains questions similar to those in the ...

We collect 32,799 open-ended questions from 4,998 pathology images where each question is manually checked to ensure correctness. To our best knowledge, this is ...

PathVQA: 30000+ Questions for Medical Visual Question Answering ... To achieve this goal, the first step is to create a visual question answering (VQA) dataset ...

13 дек. 2020 г. · We create a set of three models that respond to three different types of questions about a pathology image: “What is present?”, Yes/No questions, and free ...

1 янв. 2020 г. · He, X. PathVQA: 30000+ Questions for Medical Visual Question Answering. Retrieved from https://par.nsf.gov/biblio/10170770. ArXivorg 2003.10286.