Deep learning algorithms have depicted commendable performance in a variety of computer vision applications. However, training a robust deep neural network necessitates a large amount of labeled ...

Abstract Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss.

Aiming at complexity and self-adaption of image segmentation in lung tumors, this article proposed a parallel deep learning algorithm with hybrid attention mechanism for image segmentation. First, ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Image recognition has become a cornerstone of modern technology, transforming industries like healthcare, retail, automotive, and security. Deep learning techniques enable machines to recognize, ...

The deep learning-based shoot image analysis tool (DeepShoot) is designed for automated segmentation and quantification of visible light (VIS) images of arabidopsis, maize, and barley shoots acquired ...

Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep ...