News-Medical.Net

CNN-based system improves lung nodule detection and classification

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Mirage News

AI Boosts Lung Nodule Detection, Classification on LIDC Data

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...
IEEE

Brightness-Enhanced Gastrointestinal Endoscopy Image Classification Using CNN-Based Diagnostic Model

Abstract: This study proposes a framework based on a Cycle-Consistent Generative Adversarial Network (CycleGAN) to improve the image brightness and visual continuity of gastrointestinal (GI) ...
IEEE

CNN-Based Classification of Straw Defects in Beverage Box Packaging

Abstract: Automated visual inspection has become an essential component in modern food and beverage manufacturing to ensure product quality and consumer safety. In particular, beverage box packaging ...
IEEE

Auto-ROI for Indonesian Primary Thoracic Dataset in CNN-Pneumonia Classification

Abstract: Pneumonia is one of the most serious lung infections and remains a leading cause of death in children under five years of age, especially in developing countries such as Indonesia. Diagnosis ...
IEEE

Comparative Analysis of Multiple CNN Architectures and Transformer (ViT-DINO) Approach for Multi-Class Military Aircraft Classification

Abstract: This study presents a comparative analysis of deep learning architecture for the multi-class classification of military aircraft. An original dataset was developed, consisting of 81 classes ...
Reuters

Ex-CNN journalist Don Lemon faces Minnesota protest charges

LOS ANGELES, Jan 30 (Reuters) - (This Jan 30 story has been corrected to show that Lemon intends to plead not guilty, has not yet entered a plea, in paragraph 4) Former CNN news anchor Don Lemon ...
Frontiers

A scalable and reliable deep learning framework for enhanced brain tumor detection and diagnosis using AI-based medical imaging

Background: The proposed Architecture will provide the processing and analysis essential to accurate and reliable detection of brain tumors from MRI, for timely diagnosis and evidence-based decisions.
IEEE

Leveraging CNN with Bi-LSTM Approach: a Comparative Analysis with Different Datasets to Detect Sarcasm on Telugu Text

Abstract: Detecting sarcasm presents a formidable challenge in Natural Language Processing (NLP), particularly for lowresource languages such as Telugu. This study introduces a deep learning ...
IEEE

Estimation of $\text{NO}_{\mathrm{x}}$ Emissions Under Refrigeration Conditions Based on Parallel CNN-LSTM Neural Networks

Abstract: This article focuses on the estimation issues related to NOx emissions caused by the dual effects of output power and temperature during the cold start process of diesel engines, with the ...
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

Comparative Analysis of CNN-based Breast Cancer Classification on Mammogram Images

Abstract: Breast cancer classification through mammogram images plays a vital role in supporting early detection and diagnosis. However, the nature complexity of mammographic data such as class ...