Comprehensive Review and Analysis of Image Encryption Techniques by K. Mahalakshmi, Sivakumar Nagarajan

“…The rapid growth of digital media has increased the need to protect image data from unauthorized access, particularly in fields such as medical imaging, military communication, and online content distribution. …”
Get full text

Deep Learning-Based In Situ Micrograph Synthesis and Augmentation for Crystallization Process Image Analysis by Muyang Li, Tuo Yao, Jian Liu, Ziyi Liu, Zhenguo Gao, Junbo Gong

“…Therefore, we proposed a novel methodology that applied image synthesis neural networks to generate virtual information-rich images, enabling efficient and rapid dataset expansion while simultaneously reducing annotation costs. …”
Get full text

High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks by Hong Zhang, Zhikang Lu, Peicong Gong, Shilong Zhang, Xiaoquan Yang, Xiangning Li, Zhao Feng, Anan Li, Chi Xiao

“…Furthermore, we streamline the entire processing workflow by developing an automated pipeline optimized for cluster-based message passing interface(MPI) parallel computation, which reduces the processing time for a mouse brain dataset to a mere 1.1 h, enhancing manual efficiency by 25 times and overall data processing efficiency by 2.4 times, paving the way for enhancing the efficiency of big data processing and parsing for high-throughput mesoscopic optical imaging techniques.…”
Get full text

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

“…This article explores recent developments in deep learning techniques applied to medical imaging, including convolutional neural networks (CNNs) for classification and segmentation, recurrent neural networks (RNNs) for temporal analysis, autoencoders for feature extraction, and generative adversarial networks (GANs) for image synthesis and augmentation. …”
Get full text

Application analysis of computer vision and image recognition based on improved VGG16 network by Xuanzhang Zhu, Yafei Li

“…On the basis of improving the deep convolutional neural network model, combined with the boundary Fisher analysis algorithm that can recognize high-dimensional data, an image recognition model is constructed to achieve efficient recognition of visual images. …”
Get full text

Comparative Analysis of Input Image Characteristics in Convolutional Neural Network-based Signature Detection by M. Adamec, M. Turcanik

Get full text

Generative Adversarial Networks in Histological Image Segmentation: A Systematic Literature Review by Yanna Leidy Ketley Fernandes Cruz, Antonio Fhillipi Maciel Silva, Ewaldo Eder Carvalho Santana, Daniel G. Costa

“…The analyzed studies demonstrated the versatility of GANs in handling challenges like stain variability, multi-task segmentation, and data scarcity—all crucial challenges in the analysis of histopathological images. …”
Get full text

Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis by Samira Islam, David Ayala-Cabrera

“…This paper promotes water distribution networks’ (WDNs) sustainability and efficiency by integrating intelligent data analysis with ground-penetrating radar (GPR) to better interpret GPR images for detecting water leaks, favouring their asset assessment. …”
Get full text

Cloud Removal in Full-disk Solar Images Using Deep Learning by Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li

Get full text

Automated analysis of high‐content microscopy data with deep learning by Oren Z Kraus, Ben T Grys, Jimmy Ba, Yolanda Chong, Brendan J Frey, Charles Boone, Brenda J Andrews

“…Abstract Existing computational pipelines for quantitative analysis of high‐content microscopy data rely on traditional machine learning approaches that fail to accurately classify more than a single dataset without substantial tuning and training, requiring extensive analysis. …”
Get full text

Multi-view semi-supervised attention network for 3D cardiac image segmentation by Huaidong Li, Delong Li, Qing Dong, Xue Han, Suyu Dong

“…We first introduced the CutMix data augmentation mechanism to enhance 3D cardiac medical image segmentation. …”
Get full text

Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

Get full text

Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning by Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu

Subjects: Get full text

Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data by Maoyue Zhang

“…A Hadoop cluster consisting of 3 nodes is built on the Linux system, and the environment required for Opencv execution is compiled for each node, which provides support for subsequent parallel optimization, feature extraction, feature fusion, and recognition of student facial images. The image data type and input and output format based on MapReduce framework are designed, and the image data is optimized by means of serialized files. …”
Get full text

Enhancing Image Classification of Cabbage Plant Diseases Using a Hybrid Model Convolutional Neural Network and XGBoost by Nabila Ayunda Sovia, Ni Wayan Surya Wardhani, Eni Sumarminingsih, Elvo Ramadhan Shofa

Get full text

Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

Get full text

A Spatiotemporal Data Cube Approach to Classification of Variable Stars: A Catalog of Candidate Variable Stars from the TESS Full-frame Image Raw Data by Harry Qiang, Marina Kounkel, Sally Bass, Ryan Lingg, Logan Sizemore, Dylan Carroll, Brian Hutchinson, Keivan G. Stassun

“…We perform a search for eclipsing, pulsating, and rotating variables in TESS full-frame images. This classification was done using a neural network that has been trained on variable stars identified in other surveys. …”
Get full text

Spectro-Image Analysis with Vision Graph Neural Networks and Contrastive Learning for Parkinson’s Disease Detection by Nuwan Madusanka, Hadi Sedigh Malekroodi, H. M. K. K. M. B. Herath, Chaminda Hewage, Myunggi Yi, Byeong-Il Lee

“…This study presents a novel framework that integrates Vision Graph Neural Networks (ViGs) with supervised contrastive learning for enhanced spectro-temporal image analysis of speech signals in Parkinson’s disease (PD) detection. …”
Get full text

Coffee Beans Classification Using Convolutional Neural Networks Based On Extraction Value Analysis In Grayscale Color Space by Bagus Raffi Santoso, Christy Atika Sari, Eko Hari Rachmawanto

Get full text

Retinal Image Analysis for Heart Disease Risk Prediction: A Deep Learning Approach by N. D. D, P. Sona, Ajay James

Get full text