Research and Resources Hub
Explore our dedicated repository for groundbreaking studies and resources that inform and bolster the development of EpyDiagnosis. Here, we provide streamlined access to a curated selection of research papers, clinical trial findings, and ongoing investigations that are pivotal to our product’s innovation. This hub serves as a testament to our commitment to evidence-based advancements and transparent communication with the medical community and stakeholders.
Deep Learning for Medical Image-Based Cancer Diagnosis
Deep Learning for Medical Image-Based Cancer Diagnosis Jiang et al., 2023Abstract Background: The application of deep learning technology to realize cancer diagnosis based on medical images is one of the research hotspots in the field of artificial intelligence and computer…
Research on Segmentation Technology in Lung Cancer Radiotherapy Based on Deep Learning
Research on Segmentation Technology in Lung Cancer Radiotherapy Based on Deep Learning (Huang et al., 2023)Abstract Background: Lung cancer has the highest mortality rate among cancers. Radiation therapy (RT) is one of the most effective therapies for lung cancer. The correct…
Lung Cancer Screening, Version 3.2018
Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology (Wood et al., 2018)Abstract Lung cancer is the leading cause of cancer-related mortality in the United States and worldwide. Early detection of lung cancer is an important opportunity for…
International expert consensus on diagnosis and treatment of lung cancer complicated by chronic obstructive pulmonary disease
International expert consensus on diagnosis and treatment of lung cancer complicated by chronic obstructive pulmonary disease (Zhou et al., 2023)Abstract Background: Lung cancer combined by chronic obstructive pulmonary disease (LC-COPD) is a common comorbidity and their interaction with each other…