IEEE

Hi-RWKV: Hierarchical RWKV Modeling for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification demands models that can jointly capture long-range spatial relations and high-dimensional spectral structures while remaining scalable to large ...
IEEE

Hybrid CNN Architecture based on EfficientNet and Fine-Tuned Layers for Multi-Class Skin Lesion Classification

Abstract: Early and accurate diagnosis of skin diseases is critical to successful treatment and improvement of patient outcome. However, correct diagnosis, with the help of dermoscopic examination, is ...
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

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 ...
IEEE

MPFASS-Net: A Mamba Progressive Feature Aggregation Network With Self-Supervised for Remote Sensing Image Scene Classification

Abstract: Focusing on the semantic gap problem of “large intraclass differences and small interclass differences” caused by the complex background and scale variations of interest targets in remote ...
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

CNN based Error Level Analysis (ELA) With Scores to Detect Digital Image Manipulation

Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...
IEEE

Hybrid CNN Approach for Automated Glaucoma Detection and Severity Grading from Fundus Image

Abstract: This study presents a deep learning-based approach for automated detection and grading of glaucoma using retinal fundus images. Leveraging a hybrid model built on EfficientNetB3 as a feature ...
IEEE

Efficient and Interpretable Otoscopic Image Classification via Distilled CNN With Adaptive Channel Attention

Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...
KVIA

Chilling images are the biggest break so far in the Nancy Guthrie case. Here’s what stands out to law enforcement experts

(CNN) — Video and images showing an armed, masked individual outside the Tucson, Arizona, home of Nancy Guthrie have given new life to the search for the 84-year-old – and may offer investigators ...