Abstract: Nuclei segmentation and classification in Hematoxylin and Eosin (H&E) stained histology images play a vital role in cancer diagnosis, treatment planning, and research. However, accurate ...
Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
Accurate and reliable segmentation of multiple sclerosis (MS) lesions from magnetic resonance imaging (MRI) is essential for diagnosis and monitoring disease progression. Therefore, a robust and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results