IEEE

SynthraXCoreNet: An Interpretable, Well-Calibrated Six-CNN Ensemble for Dermoscopic Skin-Lesion Classification

Abstract: Accurate skin lesion classification is hard because classes can look similar, datasets are imbalanced, and devices and domains vary. We introduce SynthraXCoreNet, a six CNN ensemble with ...
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

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

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

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 ...
CNN

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

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 important ...
IEEE

Improved Faster R-CNN for Aircraft Detection in SAR Images

Abstract: Synthetic Aperture Radar (SAR) images play a crucial role in various fields due to their high resolution and capability to operate under diverse lighting and climatic conditions. However, ...
IEEE

Small-Sample Image Classification for Synthetic Aperture Sonar Based on Super-Resolution Reconstruction and Improved Self-Supervised Contrastive Learning

Abstract: Synthetic aperture sonar (SAS) is the main means of underwater long-range and high-resolution imaging, and small-sample classification based on SAS images holds important application value.
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 ...