IEEE

Classification of Eye Diseases Using CNN on Fundus Images

Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...
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 Hybrid CNN-Transformer Knowledge Transfer Technique for Lightweight Skin Lesion Classification using Dermoscopic Image

Abstract: Using dermoscopic images for the classification of skin lesion is crucial for early skin cancer detection, but resource limitations hinder complex deep learning model applications in ...
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

Optimized Colon Cancer Nuclei Classification Using Hybrid Swin Transformer and CNN Model: A Comparative Study

Abstract: Colon cancer remains a significant global health issue, and early identification plays a crucial role in improving patient outcomes. This study focuses on enhancing the automated ...
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

MRI brain tumor classification using robust Convolutional Neural Network CNN approach

Abstract: During the last decade, the deep learning depending upon the Convolutional Neural Network (CNN) structure has been demonstrated as an efficient approach to classify different objects ...