Abstract: Tumor segmentation is crucial for surgical planning and precise tumor resection for effective treatment. Traditionally, tumor localization has been performed using medical imaging techniques ...

A University of Kentucky Markey Cancer Center study reveals how prostate cancer cells adapt their metabolism to thrive in bone tissue, offering a potential new treatment target for patients with ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Cancer is one of the leading causes of death in the U.S., second only to heart disease. But a new cancer treatment method from CU Boulder researchers uses sound waves to soften tumors and could be a ...

Precise Bio has reported the first successful human implantation of its 3D-printed cornea implant, constructed of functional human eye cells cultured in a laboratory. The company described the ...

In the fight against cancer, an important field of research is the search for safe alternatives to chemotherapy and radiotherapy. These treatments attack both cancer cells and healthy cells, exposing ...

Introduction: Quantifying adiposity, a key biomarker of metabolic health, typically requires imaging that involves radiation, high costs, and manual effort. We developed an AI framework to segment ...

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 ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...