Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current …
Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …
techniques for the segmentation and classification of retinal vessels, the application of which …
A foundation language-image model of the retina (flair): Encoding expert knowledge in text supervision
Foundation vision-language models are currently transforming computer vision, and are on
the rise in medical imaging fueled by their very promising generalization capabilities …
the rise in medical imaging fueled by their very promising generalization capabilities …
[HTML][HTML] Uncovering language disparity of ChatGPT on retinal vascular disease classification: cross-sectional study
X Liu, J Wu, A Shao, W Shen, P Ye, Y Wang… - Journal of Medical …, 2024 - jmir.org
Background Benefiting from rich knowledge and the exceptional ability to understand text,
large language models like ChatGPT have shown great potential in English clinical …
large language models like ChatGPT have shown great potential in English clinical …
Laffnet: A lightweight adaptive feature fusion network for underwater image enhancement
Underwater image enhancement is an important low-level computer vision task for
autonomous underwater vehicles and remotely operated vehicles to explore and …
autonomous underwater vehicles and remotely operated vehicles to explore and …
The dawn of quantum natural language processing
In this paper, we discuss the initial attempts at boosting understanding human language
based on deep-learning models with quantum computing. We successfully train a quantum …
based on deep-learning models with quantum computing. We successfully train a quantum …
Cross-modal clinical graph transformer for ophthalmic report generation
Automatic generation of ophthalmic reports using data-driven neural networks has great
potential in clinical practice. When writing a report, ophthalmologists make inferences with …
potential in clinical practice. When writing a report, ophthalmologists make inferences with …
Deep image captioning: A review of methods, trends and future challenges
Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …
content of images in human language, which requires to model semantic relationship …
Optimizing numerical estimation and operational efficiency in the legal domain through large language models
The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …
challenges in delivering timely and accurate information to clients, particularly concerning …
Automated generation of accurate\& fluent medical x-ray reports
Our paper focuses on automating the generation of medical reports from chest X-ray image
inputs, a critical yet time-consuming task for radiologists. Unlike existing medical re-port …
inputs, a critical yet time-consuming task for radiologists. Unlike existing medical re-port …