Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images
For the clinical diagnosis, it is essential to obtain accurate morphology data of retinal blood
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
Dual encoder-based dynamic-channel graph convolutional network with edge enhancement for retinal vessel segmentation
Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for
clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably …
clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably …
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
Efficient medical image segmentation based on knowledge distillation
Recent advances have been made in applying convolutional neural networks to achieve
more precise prediction results for medical image segmentation problems. However, the …
more precise prediction results for medical image segmentation problems. However, the …
Retinal vessel segmentation using deep learning: a review
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
Multimodal medical image fusion based on joint bilateral filter and local gradient energy
X Li, F Zhou, H Tan, W Zhang, C Zhao - Information Sciences, 2021 - Elsevier
As a powerful assistance technique for biomedical diagnosis, multimodal medical image
fusion has emerged as a hot topic in recent years. Unfortunately, the trade-off among fusion …
fusion has emerged as a hot topic in recent years. Unfortunately, the trade-off among fusion …
A multi-objective evolutionary approach based on graph-in-graph for neural architecture search of convolutional neural networks
With the development of deep learning, the design of an appropriate network structure
becomes fundamental. In recent years, the successful practice of Neural Architecture Search …
becomes fundamental. In recent years, the successful practice of Neural Architecture Search …
Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Accurate segmentation of retinal vessels from fundus images is fundamental for the
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …