The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

Introduction: The rise in cases of Gastric Cancer has increased in recent times and demands accurate and timely detection to improve patients' well-being. The traditional cancer detection techniques ...

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...

Alzheimer’s disease (AD) is a progressive, incurable neurological disorder that leads to a gradual decline in cognitive abilities. Early detection is vital for alleviating symptoms and improving ...

What happens when you combine the adrenaline-fueled competition of Hannah Grace’s “Icebreaker,” Katie Ledecky’s Olympic domination, and Rihanna’s hit song “S&M”? You get Ali Hazelwood’s latest romance ...

Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...

Abstract: Online fake reviews and ratings is making a big impact In order to purchase or subscribe to the online services. So it is important to detect fake review from e-commerce sites. So review ...