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 sensitivity, even though chest…
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…
Role of Discipline in Ancient Indian Education
…served as the foundation of ancient Indian education, especially in the Gurukul system, where it cultivated self-control, moral values, and holistic growth among students. Discipline integrated physical routines, obedience to gurus, and ethical training to…
Federated Deep Learning for Privacy-Preserving Early Lung Cancer Detection in Distributed Hospital Networks
…to be a significant global health concern. However, privacy issues frequently make it difficult for healthcare organizations to work together by exchanging patient data. A federated deep learning system for early lung cancer diagnosis utilizing chest…
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