IEEE

UADiff: A Deep Underwater Image Enhancement Network Using Generative Diffusion Prior and Uncertainty-Aware Learning

Abstract: Diffusion models have provided the state-of-the-art performances for different computer vision tasks, including the task of underwater image enhancement. One of the challenges in the task of ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

CTNet: Multimodal Remote Sensing Image Keypoint Detection and Description for CNN and Transformer Architectures

Abstract: Keypoint detection and description from multisensor or multimodal images are fundamental to image registration and its downstream tasks. However, nonlinear radiometric differences, ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
IEEE

Deep Learning-Based Knee Osteoarthritis MRI Image Classification Method

Abstract: In the classification of knee osteoarthritis (KOA) using MRI images, the application of end-to-end deep learning techniques holds significant importance. The raw knee joint images contain ...
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

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

An Efficient Method for Heart and Lung Disease Classification Using Siasme-BiLSTM Model

Abstract: Systemic inflammation is a key factor in the development of chronic obstructive lung disease (COPD), heart failure (CHF), and cardiovascular disease (CAD). These three illnesses frequently ...
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 ...
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In a “super-sized” news cycle, what news do you use?

It seemed fitting that two veteran journalists—Nancy Gibbs, the Lombard Director of the Shorenstein Center and the Edward R. Murrow Professor of Practice of Press, Politics and Public Policy, and Dana ...
IEEE

Image Enhancement using GAN-based Augmentation in CNN Models for Classification Dyslexia Severity

Abstract: Dyslexia, a complex neurodevelopmental disorder, poses formidable challenges to individuals in acquiring proficient reading skills despite adequate instruction and cognitive abilities, with ...