In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Abstract: Simultaneous Localization and Mapping (SLAM) is a fundamental capability for autonomous systems, enabling them to perceive and navigate their surroundings. Numerous SLAM algorithms have been ...
Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
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