European Medical Journal

Lightweight Neural Networks Improve Lung Cancer Diagnosis

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
Earth.com

AI-powered 'breath test' promises to detect two types of cancer

Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
Frontiers

CNNAttLSTM: an attention-enhanced CNN–LSTM architecture for high-precision jackfruit leaf disease classification

Introduction: Jackfruit cultivation is highly affected by leaf diseases that reduce yield, fruit quality, and farmer income. Early diagnosis remains challenging due to the limitations of manual ...
IEEE

Decoding Image classes from EEG Based on CNN-LSTM-Attention Architecture

Abstract: The electroencephalograph (EEG) records the electrical activity of the human brain. Decoding the class of visual stimuli from EEG has always been a key focus in Brain-Computer Interface (BCI ...
IEEE

A Multi-Scale Attention Architecture by Fusing Graph Convolutional Network and CNN for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification has been advanced by convolutional and graph convolutional networks (CNNs and GCNs). While CNNs excel at extracting local features, GCNs capture ...
IEEE

DEMUNet: Dual Encoder Mamba U-Net for Hyperspectral Image Classification

Abstract: Accurate classification and recognition of hyperspectral images (HSIs) represent a crucial task in remote sensing image processing. The transformer has emerged as a dominant method for HSI ...