A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
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
Does the presence of a lipped highly crosslinked polyethylene liner affect the survival of total hip arthroplasty implants? : a registry-based retrospective cohort study. [PDF]
Di Martino A +4 more
europepmc +1 more source
Biopolymer‐Based Polyelectrolyte Nanoplatforms for Targeted Photodynamic Therapy of Breast Cancer
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
Shedding light on arctic-alpine plants: the understudied photobiological responses in the context of climate change. [PDF]
Cazzavillan A +5 more
europepmc +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
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]
Saccullo E +9 more
europepmc +1 more source
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
Performance Evaluation of a Sandwich-Structured CNT/Graphene-TPU Nanofiber Strain Sensor for Wearable Deformation Monitoring. [PDF]
Su H, Cao S, Zhang X, Liu Z, Liu X.
europepmc +1 more source
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
Novel green synthesis of polyfunctionally substituted phthalazines promoted by visible light, DFT studies and molecular docking with antimicrobial and antibiofilm potency. [PDF]
Mekheimer RA +5 more
europepmc +1 more source

