A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading-Reference-Cited by-同舟云学术

A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading

Published:2023-07 Issue: Volume:87 Page:102822
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Fountoukidou Tatiana^ORCID,Sznitman Raphael

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

University of Bern

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference34 articles.

1. 2017 Robotic instrument segmentation challenge;Allan,2019

2. Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Lawrence Zitnick, C., Parikh, D., 2015. VQA: Visual question answering. In: The IEEE International Conference on Computer Vision. ICCV, pp. 2425–2433.

3. Diabetic macular edema;Bandello;Dev. Ophthalmol.,2017

4. Classification and Regression Trees;Breiman,1984

5. How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis;Chuquicusma,2018

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