IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Image Caption Generation using CNN and Transformers

Abstract: Image caption generation from the combination of computer vision with NLP is a critically important task for machines being able to describe images, and this project leverages the power of ...
IEEE

Multiscale Segmentation-Guided Fusion Network for Hyperspectral Image Classification

Abstract: Convolution Neural Networks (CNNs) have demonstrated strong feature extraction capabilities in Euclidean spaces, achieving remarkable success in hyperspectral image (HSI) classification ...
IEEE

NSB-H 2 GAN: “Negative Sample”-Boosted Hierarchical Heterogeneous Graph Attention Network for Interpretable Classification of Whole-Slide Images

Abstract: Gigapixel whole-slide image (WSI) prediction and region-of-interest localization present considerable challenges due to the diverse range of features both across different slides and within ...
IEEE

WTC-HST: Wavelet Transform Convolutions and Hierarchical Spatial Transformers for Polarimetric SAR Image Classification

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...
IEEE

Automated Identification and Classification of Rice Plant Leaf Diseases by Combining CNN and SVM

Abstract: Rice serves as a fundamental staple crop on a global scale; however, its productivity is frequently jeopardized by an array of leaf diseases, which can result in substantial losses if not ...
IEEE

Visual Malware Classification Using a CNN

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
IEEE

An SAGPSO-CNN Approach for Supervised Fault Classification in MVdc Shipboard Power Systems

Abstract: All-electric ships (AESs) utilizing medium-voltage dc (MVdc) shipboard power systems (SPSs) rely on a limited number of generators to supply power to propulsion units and onboard loads. To ...
IEEE

Hybrid DL Classification Model Based on CNN and Transformer for Pap Smear Cells

Abstract: Cervical cancer is a leading cause of cancer-related deaths among women, with early detection via Pap smear screening significantly reducing mortality. However, traditional analysis is ...
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 ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...