Abstract: This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms. Rather than introducing a new ...
Abstract: Accurate acquisition of wound area is crucial for clinical evaluation and monitoring the healing process in wound research. However, traditional methods relying on manual measurement and ...
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Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
UNSW researchers have developed a thermal-aware tracking algorithm that reduces solar module temperatures and UV exposure during inverter clipping and curtailment, slowing degradation without lowering ...
Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...
In this work, we propose MedSAM-Agent, a framework that reformulates interactive segmentation as a multi-step autonomous decision-making process. First, we introduce a hybrid prompting strategy for ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
This repository contains the implementation for the research paper PDE-Constrained Optimization for Neural Image Segmentation with Physics Priors. The project introduces a novel approach to cell ...
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