A Question-Centric Model for Visual Question Answering in Medical Imaging

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating Embedded Question Reuse in Question Answering

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

متن کامل

Recognizing Question Entailment for Medical Question Answering

With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered by human experts seems to be a promising solution. In this paper, we propose a new approach for the detection of similar questions based on Recogniz...

متن کامل

A Focused Dynamic Attention Model for Visual Question Answering

Visual Question and Answering (VQA) problems are attracting increasing interest from multiple research disciplines. Solving VQA problems requires techniques from both computer vision for understanding the visual contents of a presented image or video, as well as the ones from natural language processing for understanding semantics of the question and generating the answers. Regarding visual con...

متن کامل

Image-Question-Linguistic Co-Attention for Visual Question Answering

Our project focuses on VQA: Visual Question Answering [1], specifically, answering multiple choice questions about a given image. We start by building MultiLayer Perceptron (MLP) model with question-grouped training and softmax loss. GloVe embedding and ResNet image features are used. We are able to achieve near state-of-the-art accuracy with this model. Then we add image-question coattention [...

متن کامل

Hierarchical Question-Image Co-Attention for Visual Question Answering

A number of recent works have proposed attention models for Visual Question Answering (VQA) that generate spatial maps highlighting image regions relevant to answering the question. In this paper, we argue that in addition to modeling “where to look” or visual attention, it is equally important to model “what words to listen to” or question attention. We present a novel co-attention model for V...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Medical Imaging

سال: 2020

ISSN: 0278-0062,1558-254X

DOI: 10.1109/tmi.2020.2978284