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

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 ...
IEEE

Cross-Architecture Contrastive Learning for Few-Shot Hyperspectral Image Classification

Abstract: Hyperspectral image classification is a fundamental task in remote sensing with broad applications in precision agriculture, environmental monitoring, and related fields. However, existing ...
CNN

Long before AI, photos already lied to us

A picture is often said to speak a thousand words, but do we still trust it to tell the truth? The internet, editing tools, social media and — of course — AI, have made us increasingly aware that when ...
CNN

Remaking DC in His Image

First it was the Oval Office, then the East Wing, and now Donald Trump wants to remodel the Kennedy Center ... A five-year-old boy detained by ICE is now back home as Congress fights over reforms to ...
IEEE

Hyperspectral Image Classification Based on Normalized Grouping Fused Comprehensive Relative Position Transformer Network

Abstract: In hyperspectral image (HSI) classification, Transformer and CNN are widely used because they complement each other in extracting features. Nevertheless, existing Transformer-based methods ...
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 ...
TheWrap

Joe Rogan Mocks AI-Altered Alex Pretti Image Accidentally Aired by MS NOW: ‘The Opposite of What CNN Did to Me’ | Video

Joe Rogan got his eyebrows all the way up on Wednesday when discussing an image of Minneapolis ICE shooting victim Alex Pretti that was mistakenly featured on an MS NOW segment which had clearly been ...
CNN

How four faces changed the way many Americans see Trump’s immigration crackdown

First, we saw their faces: A man shielding someone who’d been pepper-sprayed and forced to the ground. A wide-eyed 5-year-old with a bunny-ear hat and a Spiderman backpack. A grandfather being led ...
IEEE

S2CaT: Spatial-Spectral-based CNN and Transformer Network for Hyperspectral Image Classification

Abstract: Recent advancements in the field of hyperspectral image (HSI) analysis have highlighted the potential of hybrid architectures that integrate convolutional neural networks (CNNs) with ...