Computer Vision News 44 Digital Pathology andData Science Hello, I'm Nisma! Welcome to my world of data-driven healthcare! I recently completed my masters in medical imaging and its applications. Currently exploring the intersections of digital pathology and data science to unlock new possibilities in healthcare. byNisma Amjad Inferring Morphological Patterns of EGFR Gene Mutation in Lung Cancer Tissues Using Large-Scale Architectures! Welcome to the world of lung cancer research, where we explore the dynamic fusion of cutting-edge technology and the intricacies of the human genome. In this article, we'll dive into the exciting research done at Ummon Healthtech. Our goal? To uncover the secrets surrounding EGFR gene mutations in lung cancer tissues. Lung cancer poses a significant global health challenge, ranking as the second leading cause of cancer-related deaths worldwide, as per the World Health Organization. To address this crisis, it's crucial to understand the different subtypes of lung cancer. Two primary types stand out: non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). Of these, NSCLC is the most prevalent, comprising 85% of cases and including subtypes like adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). Recent advances in deep learning have ignited hope in the field of lung cancer diagnosis and treatment. These cutting-edge technologies offer the ability to automatically extract critical histological features from lung cancer tissues, including tumor morphology, cellular architecture, and tissue characteristics.
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