IEEE

Query-Oriented Dynamic Multimodal Alignment for Few-Shot Hyperspectral Image Classification

Abstract: Deep learning (DL) has advanced hyperspectral image classification (HSIC), but label scarcity remains a significant challenge. Traditional unimodal methods usually produce unstable ...
IEEE

Towards Smart Waste Sorting: Lightweight CNN with Attention Mechanisms for Enhanced Classification

Abstract: Managing the growing challenges of municipal solid waste is crucial for environmental sustainability, and effective waste management plays a key role in achieving that goal. One promising ...
IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
IEEE

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
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.
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
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

Skin Disease Detection Using CNN: 6th International Conference on Innovative Trends in Information Technology(ICITIIT-2025)

Abstract: Skin diseases and it's infectious diseases are the most common health issues, requiring quick and correct diagnosis for appropriate treatment. In this study to describe the uses of ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
IEEE

A Critical Analysis of PCOS Detection using Machine Learning and CNN: Challenges and Future Directions

Abstract: Polycystic Ovary Syndrome is an endocrine disorder that affects most of the young women. It often results in infertility and many other long-term health complications in most cases. The aim ...
IEEE

Optimizing Acne Diagnosis: A CNN-SVM Hybrid Framework for Accurate Classification of Acne Lesions

Abstract: A good study on the classification of acne focused on three types including nodules, blackheads, and papules. The results were excellent on all categories of the model; regarding nodules, ...