Nature

A two-stage surface defect segmentation method for wind turbine blades based on Deeplabv3+

A two-stage segmentation model based on improved Deeplabv3 + is proposed for segmenting Blade regions and defects in complex environments. Accurate segmentation is critical for timely maintenance and ...
Nature

Pixel level deep reinforcement learning for accurate and robust medical image segmentation

Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a ...
Fred Hutch

New cell segmentation methods for better spatial transcriptomics

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...
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 ...
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 ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...