We extend conventional residual connection from the model level to the data level area, and present for the first time a simple yet effective, theoretically grounded residual connection design for ...
Abstract: Semantic image segmentation is changing digital pathology by making it faster and more accurate to analyze tissue samples through digital images. Whole Slide Imaging converts these samples ...
Background: Breast cancer (BC) ranks among the most prevalent malignant tumors in women globally, with mitochondrial dysfunction constituting one of its pathogenic mechanisms. Objectives: To ...
Abstract: This review paper introduces an advanced deep-learning method to tackle imbalanced medical datasets, frequently arising due to limited data availability and privacy restrictions in ...
1. Is this request related to a challenge you're experiencing? Tell me about your story. We need comprehensive unit test coverage for the Dataset permission service methods that are not yet covered by ...
Introduction: Cataracts, the leading cause of reversible blindness globally, require timely detection and intervention for effective prevention of blindness. Artificial intelligence can assist in ...
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