Abstract: Image segmentation ... most of active learning methods still require huge computational costs and utilize unlabeled data inefficiently. They also tend to ignore the intermediate knowledge ...

In this review, we will undertake a narrative approach to synthesise data. In other words, in addition to shedding light on key information like the sensitivity, specificity, overall accuracy of the ...

These models are trained on clean, compliant, and non-public data – deeply integrated with business-critical processes. The Future of AI in Enterprise Software – and in Private Equity ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy ... often struggle with accuracy when "extra" or irrelevant nodes in the ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

Abstract: Visible and infrared image fusion (VIF) has attracted a lot of interest ... In addition to conventional VIF methods, an increasing number of deep learning-based VIF methods have been ...