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Total 503 results found since Jan 2013.
Dual-branch hybrid encoding embedded network for histopathology image classification
Phys Med Biol. 2023 Aug 30. doi: 10.1088/1361-6560/acf556. Online ahead of print.ABSTRACT
Learning-based histopathology image (HI) classification methods serve as important tools for auxiliary diagnosis in the prognosis stage. However, most existing methods are focus on a single target cancer due to inter-domain differences among different cancer types, limiting their applicability to different cancer types. To overcome these limitations, this paper presents a high-performance HI classification method that aims to address inter-domain differences and provide an improved solution for reliable and practical HI classi...
Source: Health Physics - August 30, 2023 Category: Physics Authors: Mingshuai Li Zhiqiu Hu Song Qiu Chenhao Zhou Jialei Weng Qiongzhu Dong Xia Sheng Ning Ren Mei Zhou Source Type: research
Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework
CONCLUSIONS: Overall, the present study developed a gene signature based on NK cell-related genes, which offered a novel platform for prognosis and immunotherapeutic response evaluation of HCC patients.PMID:37649103 | DOI:10.1186/s40001-023-01300-6
Source: Cell Research - August 30, 2023 Category: Cytology Authors: Qian Feng Zhihao Huang Lei Song Le Wang Hongcheng Lu Linquan Wu Source Type: research
Dual-branch hybrid encoding embedded network for histopathology image classification
Phys Med Biol. 2023 Aug 30. doi: 10.1088/1361-6560/acf556. Online ahead of print.ABSTRACT
Learning-based histopathology image (HI) classification methods serve as important tools for auxiliary diagnosis in the prognosis stage. However, most existing methods are focus on a single target cancer due to inter-domain differences among different cancer types, limiting their applicability to different cancer types. To overcome these limitations, this paper presents a high-performance HI classification method that aims to address inter-domain differences and provide an improved solution for reliable and practical HI classi...
Source: Physics in Medicine and Biology - August 30, 2023 Category: Physics Authors: Mingshuai Li Zhiqiu Hu Song Qiu Chenhao Zhou Jialei Weng Qiongzhu Dong Xia Sheng Ning Ren Mei Zhou Source Type: research
Analysis of clinical significance and molecular characteristics of methionine metabolism and macrophage-related patterns in hepatocellular carcinoma based on machine learning
CONCLUSIONS: Methionine metabolism is closely related to tumour-associated macrophage infiltration in hepatocellular carcinoma and can help in the clinical diagnosis and prognosis of HCC.PMID:37522195 | DOI:10.3233/CBM-220421
Source: Cancer Biomarkers : Section A of Disease Markers - July 31, 2023 Category: Cancer & Oncology Authors: Diguang Wen Shuling Wang Jiajian Yu Ting Yu Zuojin Liu Yue Li Source Type: research
The integration of machine learning and multi-omics analysis provides a powerful approach to screen aging-related genes and predict prognosis and immunotherapy efficacy in hepatocellular carcinoma
CONCLUSION: In summary, we have developed an aging-related model to predict the prognosis of hepatocellular carcinoma and guide clinical drug treatment for different patients.PMID:37517087 | DOI:10.18632/aging.204876
Source: Aging - July 30, 2023 Category: Biomedical Science Authors: Jiahui Shen Han Gao Bowen Li Yan Huang Yinfang Shi Source Type: research
Combining WGCNA and machine learning to construct immune-related EMT patterns to predict HCC prognosis and immune microenvironment
Aging (Albany NY). 2023 Jul 21;15. doi: 10.18632/aging.204898. Online ahead of print.ABSTRACTHepatocellular carcinoma (HCC) is a malignancy with a very high mortality rate. Because of its high heterogeneity, there is an urgent need to find biomarkers that accurately predict prognosis. Epithelial-mesenchymal transition (EMT) is closely associated with frequent recurrence and high mortality of HCC. Therefore, it is necessary to comprehensively analyze the prognostic value and immunological properties of EMT gene in HCC. In our study, we performed bioinformatics analysis of the TCGA and ICGC liver cancer cohorts and identifie...
Source: Aging - July 22, 2023 Category: Biomedical Science Authors: Yating Sun Shengfu He Mingyang Tang Ding Zhang Bao Meng Jiawen Yu Yanyan Liu Jiabin Li Source Type: research
Identifying immune infiltration by deep learning to assess the prognosis of patients with hepatocellular carcinoma
CONCLUSION: We constructed and tested a deep learning model that evaluates the immune infiltration of liver cancer tissue in HCC patients. Our findings demonstrate the value of the model in assessing patient prognosis, immune infiltration and immune checkpoint expression levels.PMID:37450030 | DOI:10.1007/s00432-023-05097-z
Source: Cell Research - July 14, 2023 Category: Cytology Authors: Weili Jia Wen Shi Qianyun Yao Zhenzhen Mao Chao Chen AQiang Fan Yanfang Wang Zihao Zhao Jipeng Li Wenjie Song Source Type: research
