The human brain segments continuous experience into discrete events, with theoretical accounts proposing two distinct mechanisms: creating boundaries at points of high p ...

Abstract: With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, ...

Raw invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs image filtering, binarization, perspective transformation ...

Abstract: Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its ...