Image processing plays a crucial role in various fields, including computer vision, machine learning ... and algorithms for image recognition, object detection, and image segmentation. Python ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

A new technical paper titled “Scanning electron microscopy-based automatic defect inspection for semiconductor manufacturing: ...

Leica Microsystems, a leading provider of microscopy and scientific instrumentation, has released the latest version of its ...

The field of medical diagnostics and clinical practice is being transformed by the rapid advancement of deep learning ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light signatures," or optical spectra, of molecules, materials and disease ...

Deep Learning has been widely used for medical image segmentation and a large number of papers have been presented recording the success of Deep Learning in this field. The performance of Deep ...

This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep learning (DL) techniques to enhance brain tumor detection and classification in magnetic resonance ...