CANCER SCREENING
Artificial intelligence in Cancer imaging and diagnosis
The increasing incidence of cancer and the need for personalized cancer care has created a pressing need for accurate diagnosis and biomarker evaluation. Artificial Intelligence, machine learning, and deep learning have led to rapid computational pathology and precision medicine advancements. Pathologists are increasingly adopting and leveraging these technologies to deliver the right diagnosis, prognosis, and treatment to cancer patients.
AI IMAGING
Next generation diagnostic pathology - Leveraging AI to Reshape the practice of Pathology
Pathology is undergoing a transformation with an increase in workloads and the need for efficient workflows to improve the quality of diagnosis. Computer-assisted diagnosis and automated image analysis are becoming key to workflow standardization. Whole Slide Images are an accurate representation of scanned glass slides, at a high resolution and are diagnostic quality images, that aid in creating diagnostic algorithms or applications that can augment the diagnostic workflow.
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