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A new study published in ScienceDirect.com introduces a method for 3D tooth segmentation using a region-aware graph convolutional network. The study focuses on developing a more efficient and accurate approach for segmenting teeth in dental images. The proposed method utilizes sampling meshes to create a graph structure that represents the relationship between different parts of
Vor 22 Stunden · Η ιστοσελίδα sciencedirect.com, η οποία παρέχει πρόσβαση σε μια τεράστια βιβλιογραφική βάση δεδομένων επιστημονικών και ιατρικών δημοσιεύσεων και την οποία διαχειρίζεται η ολλανδική Elsevier (ακαδημαϊκή εκδοτική εταιρεία με ...
Vor 22 Stunden · A new study published in the journal ScienceDirect explores the use of graph deep learning and transformer models to predict the prognosis of liver diseases based on histopathological images. The researchers developed a novel framework that combines graph convolutional networks with transformer models to analyze complex relationships within liver histopathological images. The study found that
Vor 22 Stunden · A study published on sciencedirect.com discusses the use of deep learning and adaptive thresholding techniques to automatically measure the height of central serous chorioretinopathy lesions. The researchers developed a system that can accurately measure the height of these lesions, which is important for monitoring and managing the condition. The study highlights the potential of using
Vor 22 Stunden · Forum Bourse POXEL - 21/05/2024 16:21:28 - https://www.sciencedirect.com/science/article/pii/S0753332224006395
22. Mai 2024 · The MLENet, or Multi-Level Extraction Network, is a new approach to video action recognition that aims to improve accuracy and efficiency. This network