Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology
Z Wang, Y Liu, X Niu - Seminars in Cancer Biology, 2023 - Elsevier
Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …
artificial intelligence approaches, particularly machine learning and deep learning, are …
Boundary guided semantic learning for real-time COVID-19 lung infection segmentation system
The coronavirus disease 2019 (COVID-19) continues to have a negative impact on
healthcare systems around the world, though the vaccines have been developed and …
healthcare systems around the world, though the vaccines have been developed and …
Review of Image Classification Algorithms Based on Graph Convolutional Networks
W Tang - EAI Endorsed Transactions on AI and Robotics, 2023 - publications.eai.eu
In recent years, graph convolutional networks (GCNs) have gained widespread attention
and applications in image classification tasks. While traditional convolutional neural …
and applications in image classification tasks. While traditional convolutional neural …
Feasibility and long-term survival of proximal gastrectomy after neoadjuvant therapy for locally advanced proximal gastric cancer: A propensity-score-matched …
Background: Neoadjuvant therapy enhances the possibility of achieving radical resection
and improves the prognosis for locally advanced gastric cancer (GC). However, there is a …
and improves the prognosis for locally advanced gastric cancer (GC). However, there is a …
Category-weight instance fusion learning for unsupervised domain adaptation on breast cancer histopathology images
C Zhang, P Chen, T Lei - Biomedical Signal Processing and Control, 2025 - Elsevier
Breast cancer is one of the most common malignant tumors among women, and early
diagnosis can significantly mitigate its impact. Despite substantial advancements in breast …
diagnosis can significantly mitigate its impact. Despite substantial advancements in breast …
Noninvasive Assessment of HER2 Expression Status in Gastric Cancer Using 18F-FDG Positron Emission Tomography/Computed Tomography-Based Radiomics: A …
X Jiang, T Li, J Wang, Z Zhang, X Chen… - Cancer Biotherapy & …, 2024 - liebertpub.com
Purpose: Immunohistochemistry (IHC) is the main method to detect human epidermal growth
factor receptor 2 (HER2) expression levels. However, IHC is invasive and cannot reflect …
factor receptor 2 (HER2) expression levels. However, IHC is invasive and cannot reflect …
Nucleus Detection Based on Adversarial Domain Adaptation with Cross-Domain Consistency
S Guo, L Huang, L Li, T Bai - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Automatic cell/nucleus detection is a prerequisite for various quantitative analyses on
microscopy image. However, previous deep learning methods require enough annotated …
microscopy image. However, previous deep learning methods require enough annotated …
Predicting HER2 expression status in patients with gastric cancer using 18F-FDG PET/CT radiomics
X Jiang, T Li, Z Zhang, J Wang, M Dai, J Han, X Chen… - 2023 - researchsquare.com
Background Immunohistochemistry (IHC) is the main method used to detect human
epidermal growth factor receptor 2 (HER2) expression levels. However, IHC is invasive and …
epidermal growth factor receptor 2 (HER2) expression levels. However, IHC is invasive and …