Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Introduction: The development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical ...

Abstract: This paper addresses the challenging task of semantic segmentation of 3D scenes, particularly in indoor environments. Many existing 3D point cloud segmentation methods face significant ...

Abstract: With the rapid development of 3D data processing technology, indoor point cloud segmentation has become a critical step for tasks such as scene understanding, target detection and path ...

Background and objective: Accurate diagnosis of brain tumors significantly impacts patient prognosis and treatment planning. Traditional diagnostic methods primarily rely on clinicians’ subjective ...

If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...