EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects better. The existing methods lose some image ...

In particular, a DNN is applied to an encoder and a decoder to enable flexible adaptation with respect to their system environments, without the need for any domain-specific information.

To the best of our knowledge, we present the first exploration of combining Swin Transformer and convolution in both the encoder and decoder stages. Through comprehensive comparative analysis, we ...

Colonoscopy plays a pivotal role in detecting and diagnosing colorectal diseases, with polyp segmentation being a critical step for accurate diagnosis. In this study, we propose a novel approach for ...

Text generation is crucial for many applications in natural language processing. With the prevalence of deep learning, the encoder-decoder architecture is dominantly adopted for this task. Accurately ...

Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal sleep ...

This research introduces an advanced approach to automate the segmentation and quantification of nuclei in fluorescent images through deep learning techniques. Overcoming inherent challenges such as ...

To address the significant scale differences between cracks and backgrounds and the loss of spatial detail in segmentation processes, which subsequently impacts segmentation accuracy, a dual-scale ...

Inspired by the recent advances in deep learning, we propose a novel iterative belief propagation - convolutional neural network (BP-CNN) architecture for channel decoding under correlated noise. This ...

This paper proposes a hybrid CNN-transformer network called HCTSpeckle, an encoder-decoder network with a fusion block designed to enhance ultrasound images. The fusion block combines swin ...