This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

Abstract: This study aims to implement the Watershed algorithm with an enhanced approach by incorporating a Gradient parameter based on distance and color intensity to improve the segmentation quality ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore ...

Abstract: Medical image segmentation has made signiffcant strides with the development of basic models. Speciffcally, models that combine CNNs with transformers can successfully extract both local and ...