Interactive and Explainable Region-guided Radiology Report Generation-Reference-Cited by-同舟云学术

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Interactive and Explainable Region-guided Radiology Report Generation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Tanida Tim¹,Müller Philip¹,Kaissis Georgios¹,Rueckert Daniel¹

Affiliation:

1. Technical University of Munich

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204026.pdf?arnumber=10204026

Reference58 articles.

1. PhysioBank, PhysioToolkit, and PhysioNet

2. Intention Oriented Image Captions With Guiding Objects

3. Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges

4. When Radiology Report Generation Meets Knowledge Graph

5. Deep Residual Learning for Image Recognition

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1. Designing a computer-assisted diagnosis system for cardiomegaly detection and radiology report generation;2024-09-04

2. MeFD-Net: multi-expert fusion diagnostic network for generating radiology image reports;Applied Intelligence;2024-08-24

3. DKA-RG: Disease-Knowledge-Enhanced Fine-Grained Image–Text Alignment for Automatic Radiology Report Generation;Electronics;2024-08-20

4. Reinforced Visual Interaction Fusion Radiology Report Generation;2024-07-31

5. Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation;IEEE Journal of Biomedical and Health Informatics;2024-07

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