Trained on sequences of length 131k, with a model size of 256 and 16 layers. Trained for 50k steps and batch size of 8. Trained with reverse-complement (RC) data ...
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...
The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...
More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
Abstract: The application of oriented object detection in the field of aerial images has gained substantial attention and made significant progress. However, most one-stage object detectors struggle ...
* Export of quantitative results as CSV files. * Generation of annotated images with scale bars. For experiments performed with approximately constant sample thickness, the area fraction can be ...
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