IEEE

Multi-Task 3D Model for Lung Nodule Feature Extraction and Classification Using CNN and Transformer

Abstract: Lung cancer early detection and therapy rely on an accurate diagnosis of lung nodules. Traditional computeraided diagnosis systems(CAD) typically treat nodule malignancy classification as a ...
IEEE

Attention Integrated Residue CNN for Classification of DNA-Binding and RNA-Binding Proteins

Abstract: The classification of DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) is essential for understanding molecular interactions and regulatory functions. However, the existing ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
IEEE

Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images

Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...
IEEE

Improving the Sound Classification Accuracy Using CNN-LSTM and MFCC with Audio Augmentation for Diagnosing Respiratory Disease

Abstract: Audio is vital information data for understanding various situations. A multitude of sound features can be explained by analysis through the audio signals. Numerous classification methods ...
IEEE

Fake Image Detection in Fake News Using Convolutional Neural Network (CNN)

Abstract: ’Fake news’ refers to false, inaccurate, or misleading information that spreads as real news. Fake news primarily aims to affect societies and individuals by spreading false or misleading ...
IEEE

Segmentation of Skin Lesions from Medical Images Using a Fusion of CNN and RNN Models

Abstract: The necessity for accurate detection of skin cancer has led to very significant advances in medical image analysis, mainly through the application of deep learning models. Detection of early ...
Mediaite

Dismissal of Trump’s CNN Lawsuit Affirmed by Appeals Court: Using ‘Big Lie’ Not Defamatory

A federal appeals court upheld the dismissal of President Donald Trump’s defamation lawsuit against CNN, specifically noting that the network’s use of the phrase “Big Lie” to describe Trump was not a ...
IEEE

Sentiment Analysis for E-Commerce Product Reviews Using CNN-LSTM

Abstract: Due to the exponential growth of the number of user-generated reviews on e-commerce platforms, sentiment analysis has emerged for analyzing consumer opinions. This study aims to classify ...