- Journal ArticlesRemove filter
- Malathi Ravindran, R.Remove filter
- Open access onlyRemove filter
- Clear filters
AI-Driven Segmentation of Chest Radiographs for Enhanced Early Detection of Lung Cancer
Early detection of lung cancer significantly improves patient survival rates, yet traditional interpretation of chest radiographs remains challenging due to subtle abnormalities and overlapping anatomical structures. This study presents an AI-driven approach for segmenting…
Federated Deep Learning for Privacy-Preserving Early Lung Cancer Detection in Distributed Hospital Networks
Early identification is essential to increasing survival rates for lung cancer, which continues to be a significant global health concern. However, privacy issues frequently make it difficult for healthcare organizations to work together by…
Psychological Dimensions and Patient Challenges in Early Lung Cancer Detection Using AI-Based Segmentation on Chest Radiographs
Early detection of lung cancer significantly improves survival rates, yet the psychological dimensions of the diagnostic process remain underexplored. This study investigates the emotional, cognitive, and behavioral responses of patients undergoing early lung cancer…
Global Cancer Burden: A Two-Decade Analysis of Incidence, Growth, and Medical Advancements
With a sharp increase in incidence and mortality over the last 20 years, cancer has become a major global health concern. The comparative annual growth of various cancer types is highlighted, the role of…
Enhancing Precision in Lung Tumor Detection Using Transformer-Based Models on Multi-Institutional Chest Radiographs
The timely diagnosis is crucial in determining the fate of lung cancer, which remains a major cause of cancer death worldwide. Early tumor diagnosis is hampered by interpretation issues such anatomical overlap and low…
Export this page’s citations: RIS (Zotero, Mendeley, EndNote) BibTeX