IEEE

BAN: A Boundary-Aware Network Based on KAN for Robust Hyperspectral Image Classification Against Adversarial Attacks

Abstract: Deep neural networks (DNNs) have achieved significant advancements in hyperspectral image (HSI) classification, enabling critical applications in environmental monitoring, medical imaging, ...
IEEE

Dimension Reduction for Hyperspectral Image Classification Based on Sparse Spectral Spatial Locality Preserving Projection

Abstract: As a dimensionality reduction method, local preserving projection (LPP) performs well in many high-dimensional data tasks, but there are some limitations in dimensionality reduction of ...
IEEE

Histopathological Image Processing for Lung Carcinoma Classification: A Comparative Study of Stain Normalization Methods for CNN-Based Analysis

Abstract: In the present era, Cancer-related deaths are predominantly driven by lung cancer globally, causing significant deaths across all demographics. Precise prediction and evaluation of treatment ...
IEEE

Spectral–Spatial Synergy Guided Attention Network for Hyperspectral Image Classification

Abstract: The attention mechanism has gained significant popularity in hyperspectral image classification (HSIC) for its ability to adaptively highlight key features. However, it often incurs ...
IEEE

Hybrid CNN-ViT Model for Intracranial Hemorrhage Detection and Classification in DICOM Images

Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...
IEEE

Spine Image Reconstruction and Lesion Classification Based on Transfer Learning and Quantum Convolutional Neural Network

Abstract: Spine CT image reconstruction and lesion classification are crucial in diagnosing spine disorders, supporting treatment through automated lesion detection. Leveraging advancements in machine ...
IEEE

Classification of Kidney Abnormalities in CT Images using Deep Learning

Abstract: The CT Kidney Dataset is a structured and medically significant collection of Computed Tomography (CT) scan images, curated for the i m p ro v em en t and growth of AI-predicted diagnostic ...
IEEE

Operator Chain Detection in Image Forensics Using a Two-Stream CNN

Abstract: The advent of image-manipulation techniques and manipulation operator chains has raised the problem of identifying edited photos to prominence in information forensics. Existing forensic ...
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

Deepfake Face Image Detection: Benchmarking CNN Models' Performance

Abstract: The Deepfake Face Image Detection System uses Convolutional Neural Networks (CNNs) to address the growing threat of deepfakes, which manipulate images to falsely depict events or actions, ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
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 ...