By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Co-Saliency Detection (CSD) is to explore the concurrent patterns and salient objects from a group of relevant images, while Instance Co-Segmentation (ICS) aims to identify and segment out all of ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Explore Meghan Markle's journey from Hollywood to Duchess. Dive into her family life with Prince Harry, advocacy for human rights, and the couple's charitable work with The Archewell Foundation.

Dolphin (Do cument Image P arsing via H eterogeneous Anchor Prompt in g) is a novel multimodal document image parsing model following an analyze-then-parse paradigm. This repository contains the demo ...