Abstract: With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect.
Abstract: For medical image segmentation, contrastive learning recently becomes the dominant method to get the class-separated visual representations by pulling augmented views of the same samples ...
Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...
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