IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
IEEE

Yoga Pose Classification Using CNN With MobileNet

Abstract: Yoga is an ancient exercise consisting of various postures called asanas. Yoga improves physical, mental and spiritual well-being of the person. Yoga pose classification includes the ...
IEEE

Carbon Stock Classification Using CNN-CatBoost Hybrid Model with Drone and GEE Data

Abstract: Accurate classification of soil carbon stock is vital for global climate stability and supports climate change mitigation. Traditional field-based methods are often limited in scalability ...
IEEE

White Blood Cell Segmentation and Classification Using CNN-Based Unified Feature Learning with Peripheral Blood Cell Images

Abstract: The accurate segmentation and classification of white blood cells (WBCs) is of utmost importance in diagnosing and monitoring different hematological disorders. In this paper, we present a ...
IEEE

Brightness-Enhanced Gastrointestinal Endoscopy Image Classification Using CNN-Based Diagnostic Model

Abstract: This study proposes a framework based on a Cycle-Consistent Generative Adversarial Network (CycleGAN) to improve the image brightness and visual continuity of gastrointestinal (GI) ...
IEEE

Effectiveness of K-means Clustering-Based Outlier Handling Techniques in Colonic Condition Endoscopy Image Classification Using CNN

Abstract: Colorectal cancer is one of the leading causes of cancer death worldwide, so accurate early detection is needed. Endoscopic imaging technology plays a vital role in diagnosis, but the ...
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 ...