EurekAlert!

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
BIOENGINEER

MLP mixer blocks with channel attention sharpen medical image segmentation

A new MLP-based segmentation method combining mixer layers with channel attention achieved a Dice coefficient of 81.45 ...
Medical Xpress

Comprehensive AI model outperforms traditional methods in biomedical image segmentation

Researchers at Children's Hospital of Philadelphia (CHOP) announced the creation of a new AI technology called CelloType, a comprehensive model designed to more accurately identify and classify cells ...
BIOENGINEER

Hybrid swarm algorithm sharpens green segmentation of field maize seedling images

A hybrid particle swarm and evolutionary optimization algorithm uses multilevel thresholding to isolate green maize seedlings from complex field backgrounds with high fidelity.
Medical Xpress

Semi-supervised segmentation method developed for 3D medical image accuracy

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...