Single-pixel imaging based on deep learning
K Song, Y Bian, K Wu, H Liu, S Han, J Li, J Tian… - arXiv preprint arXiv …, 2023 - arxiv.org
Since the advent of single-pixel imaging and machine learning, both fields have flourished,
but followed parallel tracks. Until recently, machine learning, especially deep learning, has …
but followed parallel tracks. Until recently, machine learning, especially deep learning, has …
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer
Accurately identifying the Kirsten rat sarcoma virus (KRAS) gene mutation status in
colorectal cancer (CRC) patients can assist doctors in deciding whether to use specific …
colorectal cancer (CRC) patients can assist doctors in deciding whether to use specific …
[HTML][HTML] Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer
Y Xue, D Zhang, L Jia, W Yang, J Zhao, Y Qiang… - Plos one, 2024 - journals.plos.org
KRAS is a pathogenic gene frequently implicated in non-small cell lung cancer (NSCLC).
However, biopsy as a diagnostic method has practical limitations. Therefore, it is important to …
However, biopsy as a diagnostic method has practical limitations. Therefore, it is important to …
CHNet: A multi-task global–local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer
M Cai, L Zhao, Y Qiang, L Wang, J Zhao - Artificial Intelligence in Medicine, 2024 - Elsevier
Accurate prediction of Kirsten rat sarcoma (KRAS) mutation status is crucial for personalized
treatment of advanced colorectal cancer patients. However, despite the excellent …
treatment of advanced colorectal cancer patients. However, despite the excellent …
Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT image
L Pan, T He, Z Huang, S Chen, J Zhang, S Zheng… - Abdominal …, 2023 - Springer
Objectives Patients with T4 obstructive colorectal cancer (OCC) have a high mortality rate.
Therefore, an accurate distinction between T4 and T1–T3 (NT4) in OCC is an important part …
Therefore, an accurate distinction between T4 and T1–T3 (NT4) in OCC is an important part …
[PDF][PDF] A context-aggregated attention model for predicting KRAS mutation status in colorectal cancer
C Gu, L Zhao, C Du, Y Miao, L Zhang, Q Yang… - 2023 - assets-eu.researchsquare.com
Purpose: Accurate identification of kratom sarcoma (KRAS) gene mutation status is of great
significance for prognosis and treatment response in colorectal cancer. However, MRI …
significance for prognosis and treatment response in colorectal cancer. However, MRI …