Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…<b>Background/Objectives</b>: Accurate and efficient segmentation of cell nuclei in biomedical images is critical for a wide range of clinical and research applications, including cancer diagnostics, histopathological analysis, and therapeutic monitoring. …”
Get full text

Segment search for local extremums of images based on the analysis of brightness of adjacent homogeneous areas by V. Yu. Tsviatkou, Anh Tuan Nguyen

“…Morphological search algorithms provide the selection of non-strict extremes, but have a high computational complexity. A mathematical model and an algorithm based on the brightness analysis of adjacent homogeneous regions are proposed to isolate strict and non-strict local extremes of images with low computational complexity. …”
Get full text

PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network by Mingzhu Shi, Shuaiqi Liu

“…In hybrid sensor networks, information fusion from heterogeneous sensors is important, but quite often information such as image is blurred. Single image deblurring is a highly ill-posed problem and usually regularized by alternating estimating point spread function (PSF) and recovering blur image, which leads to high complexity and low efficiency. …”
Get full text

An image encryption algorithm based on multi-layered chaotic maps and its security analysis by Erdal Güvenoğlu

“…Within the proposed algorithm, these chaotic maps are strategically utilised in distinct layers to enhance the security of the encrypted image. The algorithm demonstrates applicability to real-world scenarios, distinguished by its simplicity, high-speed performance, and low computational complexity. …”
Get full text

Evaluation and analysis of image compression effect on neural network-based heart rate classification by Tianyu Dong, Seongho Cook, Jaiyoung Oh, Euee S. Jang

Get full text

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

Get full text

ANIMAL MODELS OF METASTATIC CANCER - ADVANCED IMAGE ANALYSIS FOR DISSECTION OF DRIVING SIGNALING PATHWAYS

“…Dynamic confocal microscopy, FRET, FLIM, electron microscopy and image analysis were utilized to identify signaling complexes for high-dimensional signaling for cancer cell growth. …”
Get full text

The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

Get full text

A High-accuracy Alignment Approach for Solar Images of Different Wavelengths by Yun Wang, Kaifan Ji, Zhenyu Jin, Hui Liu

“…The different wavelength images of the chromosphere and transition region have structural complexity and differences in similarity, which poses a challenge to their alignment. …”
Get full text

Effect analysis of pinning and impulsive selection for finite-time synchronization of delayed complex-valued neural networks by Shuang Liu, Tianwei Xu, Qingyun Wang

Get full text

Non-Uniform Drying Shrinkage in Robocasted Green Body Ceramic Products by Nicolas Lauro, Arnaud Alzina, Benoit Nait-Ali, David S. Smith

Get full text

Technical approaches of 3D reconstruction from protein complex using the mixture of differently stained images: providing suggestive evidence for improving its resolution by Yoon Ho Park, Myeong Seon Jeong, Gang San Song, Tak gwonbaek, Young Kwan Kim, Hyun Suk Jung

Get full text

Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture by Yingbiao Yao, Xiaojuan Li

“…In order to reduce the intra coding complexity of HEVC, a fast block partitioning algorithm based on spatial correlation and image texture was proposed. …”
Get full text

Theoretical Foundation of Black Hole Image Reconstruction Using PRIMO by Dimitrios Psaltis, Feryal Özel, Lia Medeiros, Tod R. Lauer

Get full text

Physiological and Anthropometric Factors Associated With Spine Loading Estimates From Imaging‐Based Subject‐Specific Musculoskeletal Models by Brett T. Allaire, Fjola Johannesdottir, Mary L. Bouxsein, Dennis E. Anderson

“…Shear loading appears more complex and may require additional information not captured in the set of factors we examined.…”
Get full text

Destination image of China’s National parks from a stakeholder perspective by Qiu Jingpei, Xie ZiXuan, Zhang Conglin

Get full text

Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. …”
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

“…Histological image analysis plays a crucial role in understanding and diagnosing various diseases, but manually segmenting these images is often complex, time-consuming, and heavily reliant on expert knowledge. …”
Get full text

Diagnosis and treatment of odontomas: A retrospective study of 53 cases by LIU Xianguang, WANG Hanxi, ZHENG Mingxue, WANG Xuxia

Get full text

Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification by Xinyu (Freddie) Liu, Gizem Karagoz, Nirvana Meratnia

“…Deep learning models are widely used for medical image analysis and require large datasets, while sufficient high-quality medical data for training are scarce. …”
Get full text