Streamline Your Workflow: The Ultimate Guide to AI-Powered Background Removal for E-Commerce and Design Pros

When you use this tool to remove background from an image, the AI instantly detects the primary subject—be it a sneaker, a ...

A zero-shot learning framework for maize cob phenotyping

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
Frontiers

A segmentation method for LiDAR point clouds of aerial slender targets

1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, China LiDAR ...
IEEE

Skin Lesion Image Segmentation Algorithm Based on MC-UNet

Abstract: Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm ...
Science Daily

Artificial intelligence: Algorithms improve medical image analysis

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...