Abstract: The rapid growth of traffic complaints on social media presents challenges for authorities to manage and prioritize responses effectively. This study proposes a multiclass classification ...

Abstract: Accurate classification of breast cancer into distinct molecular subtypes is crucial for personalized treatment and improved patient outcomes. Despite advancements in machine learning, ...

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 ...

A new clinical classification scheme is presented, entitled “Acute Pulmonary Embolism Clinical Categories,” with 5 categories (A-E) and subcategories, ranging from low to high risk for adverse ...