Guru Dronacharya calls the young princes for an archery test. A wooden bird is placed on a tree. One by one, the princes are ...

Abstract: Individual tree segmentation from terrestrial laser scanning (TLS) point clouds is essential for precise forest inventory, instance-level tree modeling, and the estimation of forest stock ...

Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...

Abstract: The tree diameter at breast height (DBH) is one of the most important variables for monitoring the forest ecology. Mobile laser scanning (MLS), which has been widely applied in the forestry ...

Rubber trees are a critical industrial crop that supplies natural rubber to countless sectors, from automotive manufacturing to healthcare. Monitoring their growth and health requires accurate ...

With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...

PyCrown is a Python package for identifying tree top positions in a canopy height model (CHM) and delineating individual tree crowns. The tree top mapping and crown delineation method (optimized with ...

In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning ...