Results 141 to 150 of about 2,278,860 (251)

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

Biopolymer‐Based Polyelectrolyte Nanoplatforms for Targeted Photodynamic Therapy of Breast Cancer

open access: yesVIEW, EarlyView.
Illustration of the synthesis of 5‐aminolevulinic acid loaded chitosan‐sericin polyelectrolyte nanoparticles (CSSN/ALA NPs) using the Flash nanocomplexation (FNC) technique and their potential in photodynamic therapy (PDT) against breast cancer (BC). Abstract Nanomedicine has reshaped healthcare, especially in targeted drug delivery systems (DDSs) and ...
Athira Narayanan   +14 more
wiley   +1 more source

Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu   +6 more
wiley   +1 more source

Multifunctional Halloysite-Glutathione Nanocomposite for Solar CO2 Conversion and Pollutant Sensing. [PDF]

open access: yesACS Appl Nano Mater
Saccullo E   +9 more
europepmc   +1 more source

Dissecting Glioma Heterogeneity: A Deep Hybrid Graph Convolutional Network With Hinge Attention for Causal‐Effect Explainability

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim   +4 more
wiley   +1 more source

Regional Infrared and Visible Image Registration for Distribution Substation Areas With Wide Depth of Field

open access: yesHigh Voltage, EarlyView.
ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley   +1 more source

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