A patient-disjoint benchmark for chest CT segmentation demonstrates that slice-mixed evaluation inflates foreground Dice by 0.46 absolute (69% relative) compared to proper case-disjoint splits.
The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over- union measure in neural networks,
2 Pith papers cite this work. Polarity classification is still indexing.
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LUSIS-DETR with AquaBSAM reports leading performance on four underwater instance segmentation datasets and real-time FP16 inference on an NVIDIA T4 GPU.
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CTSCAN: Evaluation Leakage in Chest CT Segmentation and a Reproducible Patient-Disjoint Benchmark
A patient-disjoint benchmark for chest CT segmentation demonstrates that slice-mixed evaluation inflates foreground Dice by 0.46 absolute (69% relative) compared to proper case-disjoint splits.
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Aqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer
LUSIS-DETR with AquaBSAM reports leading performance on four underwater instance segmentation datasets and real-time FP16 inference on an NVIDIA T4 GPU.