[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …
As a result, the reports are written with medical jargon and technical detail to ensure …
Interactive and explainable region-guided radiology report generation
The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …
time-consuming task of report writing. Existing methods generate the full report from image …
Exploring and distilling posterior and prior knowledge for radiology report generation
Automatically generating radiology reports can improve current clinical practice in diagnostic
radiology. On one hand, it can relieve radiologists from the heavy burden of report writing; …
radiology. On one hand, it can relieve radiologists from the heavy burden of report writing; …
Competence-based multimodal curriculum learning for medical report generation
Medical report generation task, which targets to produce long and coherent descriptions of
medical images, has attracted growing research interests recently. Different from the general …
medical images, has attracted growing research interests recently. Different from the general …
Auto-encoding knowledge graph for unsupervised medical report generation
Medical report generation, which aims to automatically generate a long and coherent report
of a given medical image, has been receiving growing research interests. Existing …
of a given medical image, has been receiving growing research interests. Existing …
Contrastive attention for automatic chest x-ray report generation
Recently, chest X-ray report generation, which aims to automatically generate descriptions
of given chest X-ray images, has received growing research interests. The key challenge of …
of given chest X-ray images, has received growing research interests. The key challenge of …
[HTML][HTML] Integrating domain knowledge for biomedical text analysis into deep learning: A survey
The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …
Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation
Recently, medical report generation, which aims to automatically generate a long and
coherent descriptive paragraph of a given medical image, has received growing research …
coherent descriptive paragraph of a given medical image, has received growing research …
Hybrid retrieval-generation reinforced agent for medical image report generation
Generating long and coherent reports to describe medical images poses challenges to
bridging visual patterns with informative human linguistic descriptions. We propose a novel …
bridging visual patterns with informative human linguistic descriptions. We propose a novel …
An inclusive task-aware framework for radiology report generation
To avoid the tedious and laborious radiology report writing, the automatic generation of
radiology reports has drawn great attention recently. Previous studies attempted to directly …
radiology reports has drawn great attention recently. Previous studies attempted to directly …