Harvard Researchers Propose a Self-Supervised Deep Learning Algorithm for Fast and Scalable Search of Whole-Slide Images

The necessity for accurate and economical gigapixel image analysis has risen as whole-slide imaging has become more widely used. Deep learning is at the forefront of computer vision, showing considerable advancements in visual comprehension over earlier approaches. However, whole-slide images (WSI) include billions of pixels and are plagued by many sorts of artifacts as well […]

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