Sukesh Adiga Vasudeva
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View article: GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation
GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation Open
Soft-label assignments have emerged as prominent strategies in training dense prediction problems, such as image segmentation. These approaches mitigate the limitations of hard labels, such as inter-class relationships in the data and spat…
View article: Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Open
Ensuring reliable confidence scores from deep neural networks is of paramount significance in critical decision-making systems, particularly in real-world domains such as healthcare. Recent literature on calibrating deep segmentation netwo…