Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...
A market segment is a group of people with common characteristics. Companies market to different segments with advertising designed specifically to reach each.
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today’s competitive market, companies must rethink how they connect with customers.
ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.
A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud
Introduction: The development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical ...
The dataset PanNuke-Mini-ImageMask-Dataset-With-Categorize-Masks.zip. used here has been taken from.
Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...
Abstract: LiDAR panoptic segmentation (LPS) performs semantic and instance segmentation for things (foreground objects) and stuff (background elements), essential for scene perception and remote ...
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