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

Adapting a Segmentation Foundation Model for Medical Image Classification

Abstract: Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to their ...
IEEE

Transformer-CNN Interactive Learned Image Compression for Resource-Deficient Industrial Visual Information Communication

Abstract: The application of image compression in industrial information systems has significantly enhanced data processing efficiency and emerged as a supportive technique for realizing Industry 4.0.
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

Generative Images of Microscopy Cell Arrangements Using AI Conditional Training

Abstract: Advances in artificial intelligence-driven techniques are poised to revolutionize our understanding of cellular biology. Synthetic imaging capabilities elevate the precision and efficiency ...
IEEE

Pothole detection on Roads using CNN for Autonomous vehicles

Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
IEEE

Enhanced ECG Classification using a Hybrid Signal Processing Framework

Abstract: Accurate Electrocardiogram (ECG) classification is crucial for real-time cardiac monitoring. This study integrates static and wavelet-based scattering transform features to classify four ...
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

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

Robust X-ray Image Classification using Vision Transformers: A Comparative Study with Convolutional Neural Networks

Abstract: Accurate classification of X-ray images is crucial for detecting COVID-19 and pneumonia cases. This study compares the performance of Vision Transformers (ViTs) and Convolutional Neural ...
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 ...