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.
EurekAlert!

Enhanced Pulmonary Nodule Detection and Classification Using Artificial Intelligence on LIDC-IDRI Data (IMAGE)

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...
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

Object Detection and Classification from Sonar Underwater Images using YOLO and DETR models

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...
IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

Prototype-Guided Cyclic Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: In recent years, unsupervised domain adaptation (UDA) based on deep learning has been widely applied to address the spectral shift problem in cross-scene hyperspectral image classification ...
IEEE

Ensemble Learning-based Breast Tumor Classification Using Ultrasound Images

Abstract: Breast cancer is one of the leading causes of cancer death in women, making early identification crucial for appropriate and timely treatment. The breast tumors are typically classified into ...
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

Hybrid Integration of CNN and Kolmogorov–Arnold Networks for Multispectral Image Super-Resolution

Abstract: This letter proposes KAN-based multispectral image super-resolution method (KMSR), a novel deep learning framework for multispectral image (MSI) super-resolution (SR) that integrates ...
IEEE

Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

AlzCNN: A Custom CNN Architecture for Alzheimer’s Stage Detection from MRI Images

Abstract: Alzheimer’s disease (AD) is a slowly advancing neurodegenerative condition which mostly affects brain neuron’s ability to remember and think. This condition causes significant challenges in ...