Yusheng Song

ORCID: 0000-0002-9084-2804
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Research Areas
  • AI in cancer detection
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Liver Disease Diagnosis and Treatment
  • Brain Tumor Detection and Classification
  • Medical Image Segmentation Techniques
  • Cancer Mechanisms and Therapy
  • Sensorless Control of Electric Motors
  • Advanced Neural Network Applications
  • Lung Cancer Treatments and Mutations
  • Cancer, Lipids, and Metabolism
  • Hepatitis B Virus Studies
  • Advanced Algorithms and Applications
  • Management of metastatic bone disease
  • COVID-19 diagnosis using AI
  • Analytical Chemistry and Sensors
  • Advanced Sensor and Control Systems
  • Cancer Genomics and Diagnostics
  • Spine and Intervertebral Disc Pathology
  • Electrochemical Analysis and Applications
  • Organ Transplantation Techniques and Outcomes
  • Liver Disease and Transplantation
  • Hepatitis C virus research
  • Genetic factors in colorectal cancer
  • Electrochemical sensors and biosensors
  • Magnetic Bearings and Levitation Dynamics

Xi'an Jiaotong University
2025

Ganzhou People's Hospital
2022-2024

Northwestern University
2023

Nanchang Hangkong University
2023

Abstract There is considerable potential for integrating transarterial chemoembolization (TACE), programmed death-(ligand)1 (PD-[L]1) inhibitors, and molecular targeted treatments (MTT) in hepatocellular carcinoma (HCC). It necessary to investigate the therapeutic efficacy safety of TACE combined with PD-(L)1 inhibitors MTT real-world situations. In this nationwide, retrospective, cohort study, 826 HCC patients receiving either plus blockades (combination group, n = 376) or monotherapy...

10.1038/s41392-022-01235-0 article EN cc-by Signal Transduction and Targeted Therapy 2023-02-07

<abstract> <p>Medical image segmentation of the liver is an important prerequisite for clinical diagnosis and evaluation cancer. For automatic from Computed Tomography (CT) images, we proposed a Multi-scale Feature Extraction Enhancement U-Net (mfeeU-Net), incorporating Res2Net blocks, Squeeze-and-Excitation (SE) Edge Attention (EA) blocks. The blocks which are conducive to extracting multi-scale features were used as backbone encoder, while SE also added encoder enhance channel...

10.3934/mbe.2023336 article EN cc-by Mathematical Biosciences & Engineering 2023-01-01

Accurate segmentation of liver tumor regions in medical images is great significance for clinical diagnosis and the planning surgical treatments. Recent advancements machine learning have shown that convolutional neural networks are powerful such image processing while largely reducing human labor. However, variable shape, fuzzy boundary, discontinuous region tumors bring challenges to accurate segmentation. The feature extraction capability a network can be improved by expanding its...

10.2174/0115734056303257240529100041 article EN Current Medical Imaging Formerly Current Medical Imaging Reviews 2024-06-13

Abstract Aim The transjugular intrahepatic portosystemic shunt (TIPS) procedure has been performed in China for 30 years, but our understanding of the status and difficulties associated with use TIPS portal hypertension is incomplete. This study aims to investigate current situation hypertension, which should aid development China. Methods involved a questionnaire survey, initiated by Portal Hypertension Alliance (CHESS) Questionnaires were released on Internet between August 16, 2022...

10.1002/poh2.40 article EN cc-by-nc-nd Portal hypertension & cirrhosis 2023-03-01

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in China. Most HCC patients have complications chronic liver disease and need overall consideration whole-course management, including diagnosis, treatment, follow-up. To develop a reasonable, long-term, complete management plan, multiple factors to be considered, patient’s general condition, basic diseases, tumor stage, biological characteristics, treatment requirements, economic cost. Summary: better...

10.1159/000541622 article EN cc-by-nc Liver Cancer 2024-10-22

Abstract Segmentation of a tumor region from medical images is critical for clinical diagnosis and the planning surgical treatments. Recent advancements in machine learning have shown that convolutional neural networks are powerful such image processing while largely reducing human labor. However, variant shapes liver tumors with blurred boundaries cause great challenge accurate segmentation. The feature extraction capability network can be improved by expanding its architecture, but it...

10.21203/rs.3.rs-2272616/v1 preprint EN cc-by Research Square (Research Square) 2023-07-12

ABSTRACT Hepatocellular carcinoma (HCC) is one of the most common malignant tumours in China, at high annual incidence and mortality. Chronic hepatitis B virus infection (CHB) considered as a leading cause to bring about HCC China. Serum albumin (ALB) level has been adopted verify its risk with development combination variable other factors. However, predictive value single ALB on HBV‐related remained unclear. The aim this study was evaluate prediction ability serum concentration...

10.1111/jvh.14008 article EN Journal of Viral Hepatitis 2024-09-16

e16122 Background: The earlier randomized phase III RESORCE trial demonstrated that regorafenib improved overall survival in advanced hepatocellular carcinoma (HCC) patients progressing on sorafenib treatment, with a median of 10.6 months and hazard ratio 0.63 (95% CI 0.50-0.79, p < 0.0001). Meanwhile, more data were published from retrospective studies evaluating the sequence single drug HCC treated real-world settings [eg, REFINE study (N = 1000; 100 China)].We aimed to explore efficacy...

10.1200/jco.2022.40.16_suppl.e16122 article EN Journal of Clinical Oncology 2022-06-01
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