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

Deep Learning for Satellite Image Classification: A Comparative Analysis of CNN and ResNet-18

Abstract: With the ease of classifying land through satellite imaging, remote sensing has captured the Earth observation domain. Traditional methods for analyzing satellite images relied on manual ...
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

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
IEEE

Dual-Graph Knowledge Distillation Meets Multiscale CNN: A Novel Ensemble Approach for Few-Shot Hyperspectral Image Classification

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
IEEE

Deep Learning for Lung Cancer Classification: An Optimized 2D CNN Approach for CT Image Recognition

Abstract: This research work presents a deep learning method using the Convolutional Neural Network (CNN) for automated lung image classification based on Computer Tomography (CT) scan datasets. The ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
inforum

Port: F5 Project founder may have personally profited from nonprofit's contract with state

MINOT — A top executive of the F5 Project may be personally profiting from a contract with the state of North Dakota to provide housing for sex offenders. According to contract documents obtained from ...
Hosted on MSN

CNN’s Jake Tapper looks at criticism of some Trump admin memes and images

CNN’s Jake Tapper reports. Trump wants nations to pay $1 billion to stay on peace board Leader linked to ISIS ambush that killed 3 Americans dead after US strike: CENTCOM Lead referee Carl Cheffers ...
IEEE

Improving Robustness and Reliability in Medical Image Classification With Latent-Guided Diffusion and Nested-Ensembles

Abstract: Once deployed, medical image analysis methods are often faced with unexpected image corruptions and noise perturbations. These unknown covariate shifts present significant challenges to deep ...
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 ...
CNN

Elon Musk’s Grok can no longer undress images of real people on X

Elon Musk’s Grok artificial intelligence chatbot will no longer edit “images of real people in revealing clothing” on the X platform, the company confirmed Wednesday evening, following global outrage ...