Proposes TinyUSFM-uLPIPS and TinyUSFM-NRQ metrics that show better alignment with segmentation task performance and expert preference than PSNR or VGG-LPIPS in ultrasound imaging.
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MedCAGD introduces a context-aware gated decoder with channel recalibration, gated skip fusion, and global context aggregation that outperforms baselines on 11 medical segmentation benchmarks while remaining computationally practical.
Experimental imbibition data on four porous materials are pre-processed with a monotonicity-preserving fit and used to calibrate a PDE model of capillary absorption.
citing papers explorer
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Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
Proposes TinyUSFM-uLPIPS and TinyUSFM-NRQ metrics that show better alignment with segmentation task performance and expert preference than PSNR or VGG-LPIPS in ultrasound imaging.
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MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation
MedCAGD introduces a context-aware gated decoder with channel recalibration, gated skip fusion, and global context aggregation that outperforms baselines on 11 medical segmentation benchmarks while remaining computationally practical.
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Data-Informed Mathematical Characterization of Absorption Properties in Artificial and Natural Porous Materials
Experimental imbibition data on four porous materials are pre-processed with a monotonicity-preserving fit and used to calibrate a PDE model of capillary absorption.