Results 21 to 30 of about 18,832 (283)

TS-GCN: A novel tumor segmentation method integrating transformer and GCN

Mathematical Biosciences and Engineering, 2023
<abstract><p>As one of the critical branches of medical image processing, the task of segmentation of breast cancer tumors is of great importance for planning surgical interventions, radiotherapy and chemotherapy. Breast cancer tumor segmentation faces several challenges, including the inherent complexity and heterogeneity of breast tissue,
Haiyan Song, Cuihong Liu, Shengnan Li, Peixiao Zhang   +3 more
openaire   +3 more sources

Heterogeneous EGFR gene copy number increase is common in colorectal cancer and defines response to anti-EGFR therapy. [PDF]

PLoS ONE, 2014
Anti-EGFR therapy is commonly used to treat colorectal cancer (CRC), although only a subset of patients benefit from the treatment. While KRAS mutation predicts non-responsiveness, positive predictive markers are not in clinical practice.
Annika Ålgars, Tuulia Avoranta, Pia Österlund, Minnamaija Lintunen, Jari Sundström, Terhi Jokilehto, Ari Ristimäki, Raija Ristamäki, Olli Carpén   +8 more
doaj   +1 more source

Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network

Frontiers in Genetics, 2023
Spatially resolved transcriptomics (SRT) provides an unprecedented opportunity to investigate the complex and heterogeneous tissue organization. However, it is challenging for a single model to learn an effective representation within and across spatial ...
Xinxing Li, Wendong Huang, Xuan Xu, Hong-Yu Zhang, Qianqian Shi   +4 more
doaj   +1 more source

A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation

CoRR, 2020
As important side information, attributes have been widely exploited in the existing recommender system for better performance. In the real-world scenarios, it is common that some attributes of items/users are missing (e.g., some movies miss the genre data).
Fan Liu 0008, Zhiyong Cheng 0001, Lei Zhu 0002, Chenghao Liu, Liqiang Nie   +4 more
openaire   +2 more sources

SARW: Similarity-Aware Random Walk for GCN

, 2023
Graph Convolutional Network (GCN) is an important method for learning graph representations of nodes. For large-scale graphs, the GCN could meet with the neighborhood expansion phenomenon, which makes the model complexity high and the training time long.
Wu, Ou, Guo, Alan J.X., Hou, Linlin, Zhang, Ji, Yua, Ting, Zhang, Haixiang, Hou, Qing-Hu   +6 more
core   +1 more source

A graph convolutional neural network model with Fisher vector encoding and channel‐wise spatial‐temporal aggregation for skeleton‐based action recognition

IET Image Processing, 2022
Skeleton‐based action recognition is an inspired yet challenging task in computer vision. Recently, the latest graph convolutional network (GCN), which generalises well‐established convolutional neural networks to non‐Euclidean structures, is proven to ...
Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu   +4 more
doaj   +1 more source

Enhanced Acetone Sensing Based on Group-11 Metal (Cu, Ag, and Au) Nanoparticles Embedded in Graphitic Carbon Nitride (gCN)

Atoms, 2023
In this work, a group-11 metal nanoparticle-embedded, graphitic carbon nitride-based, resistive-type sensor was developed for room temperature acetone sensing.
Nihal, Rahul Sharma, Navjot Kaur, Mamta Sharma, B. C. Choudhary, J. K. Goswamy   +5 more
doaj   +1 more source

GCN Global Communications Newsletter [PDF]

IEEE Communications Magazine, 2020
With this issue we begin a new series of eight interviews with the Officers of the IEEE ComSoc Member and Global Activities (MGA) Council, which will be published every month in the Global Communications Newsletter.
Stefano Bregni, Nei Kato, Kashif Bashir, Joaquim F. Martins-Filho   +3 more
openaire   +1 more source

The flowchart of iPiDA-GCN.

, 2022
iPiDA-GCN mainly contains three modules: (i) Heterogeneous network construction (Fig 1A). Three kinds of edges are collected in the heterogeneous piRNA-disease association network, including piRNA-piRNA similarities, disease-disease similarities and ...
Bin Liu (5899), Hang Wei (1713715), Jialu Hou (9850439)   +2 more
core   +1 more source

Fabrication and characterization of ZnGa1.01Te2.13/g-C3N4 heterojunction with enhanced photocatalytic activity

Heliyon, 2023
The extensive consumption of fossil fuels increases CO2 concentration in the atmosphere, resulting in serious global warming problems. Meanwhile, the problem of water contamination by organic substances is another significant global challenge.
Chiing-Chang Chen, Wen-Jin Liu, Janah Shaya, Yu-Yun Lin, Fu-Yu Liu, Chao-Wei Chen, Hwei-yan Tsai, Chung-Shin Lu   +7 more
doaj   +1 more source