Electrical Engineering and Systems Science / Image Processing

All posts under category "Electrical Engineering and Systems Science / Image Processing"

21 posts total

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Detection and classification of masses in mammographic images in a multi-kernel approach

According to the World Health Organization, breast cancer is the main cause of cancer death among adult women in the world. Although breast cancer occurs indiscriminately in countries with several degrees of social and economic development, among developing and underdevelopment countries mortality r

February 23, 2026

Detection Computer Vision Image Processing Neural Computing Computer Science Electrical Engineering and Systems Science

Seismic data interpolation based on U-net with texture loss

Missing traces in acquired seismic data is a common occurrence during the collection of seismic data. Deep neural network (DNN) has shown considerable promise in restoring incomplete seismic data. However, several DNN-based approaches ignore the specific characteristics of seismic data itself, and o

February 23, 2026

Image Processing Machine Learning Data Physics Computer Science Electrical Engineering and Systems Science

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the gigapixel scale of the input and the requirement for precise, domain specific language. We propose a hierarchical vision language framework that combines a frozen pathology foundation model with a Tran

February 23, 2026

Model Image Processing Electrical Engineering and Systems Science

A new method for determining the filled point of the tooth by Bit-Plane Algorithm

A new method for determining the filled point of the tooth by Bit-Plane Algorithm

A new method for determining the filled point of the tooth by Bit-Plane Algorithm

Up to now, researchers have applied segmentation techniques in their studies on teeth images, with construction on tooth root length and depth. In this paper, a new approach to the exact identification of the filled points of the tooth is proposed. In this method, the filled teeth are detection by a

February 23, 2026

Computer Science Image Processing Electrical Engineering and Systems Science Computer Vision

Automated Assessment of Kidney Ureteroscopy Exploration for Training

Automated Assessment of Kidney Ureteroscopy Exploration for Training

Automated Assessment of Kidney Ureteroscopy Exploration for Training

Purpose: Kidney ureteroscopic navigation is challenging with a steep learning curve. However, current clinical training has major deficiencies, as it requires one-on-one feedback from experts and occurs in the operating room (OR). Therefore, there is a need for a phantom training system with automat

February 23, 2026

Image Processing Electrical Engineering and Systems Science

Conference Proceedings of the Inaugural Conference of the International Society for Tractography (IST 2025 Bordeaux)

Conference Proceedings of the Inaugural Conference of the International Society for Tractography (IST 2025 Bordeaux)

Conference Proceedings of the Inaugural Conference of the International Society for Tractography (IST 2025 Bordeaux)

This collection comprises the abstracts presented during poster, power pitch and oral sessions at the Inaugural Conference of the International Society for Tractography (IST Conference 2025), held in Bordeaux, France, from October 13-16, 2025. The conference was designed to foster meaningful exchang

February 23, 2026

Image Processing Electrical Engineering and Systems Science

RefineFormer3D: Efficient 3D Medical Image Segmentation via Adaptive Multi-Scale Transformer with Cross Attention Fusion

RefineFormer3D: Efficient 3D Medical Image Segmentation via Adaptive Multi-Scale Transformer with Cross Attention Fusion

RefineFormer3D: Efficient 3D Medical Image Segmentation via Adaptive Multi-Scale Transformer with Cross Attention Fusion

Accurate and computationally efficient 3D medical image segmentation remains a critical challenge in clinical workflows. Transformer-based architectures often demonstrate superior global contextual modeling but at the expense of excessive parameter counts and memory demands, restricting their clinic

February 23, 2026

Image Processing Electrical Engineering and Systems Science

Skin Cancer Recognition using Deep Residual Network

Skin Cancer Recognition using Deep Residual Network

Skin Cancer Recognition using Deep Residual Network

The advances in technology have enabled people to access internet from every part of the world. But to date, access to healthcare in remote areas is sparse. This proposed solution aims to bridge the gap between specialist doctors and patients. This prototype will be able to detect skin cancer from a

February 23, 2026

Image Processing Electrical Engineering and Systems Science Network Computer Science Computer Vision

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery

We present StrokeNeXt, a model for stroke classification in 2D Computed Tomography (CT) images. StrokeNeXt employs a dual-branch design with two ConvNeXt encoders, whose features are fused through a lightweight convolutional decoder based on stacked 1D operations, including a bottleneck projection a

February 23, 2026

Image Processing Electrical Engineering and Systems Science

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques

Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying the thermal environment and has important applications in many fields. However, difficult atmospheric conditions, sensor

February 23, 2026

Image Processing Electrical Engineering and Systems Science Physics

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification

Reliable interpretation of cardiac ultrasound images is essential for accurate clinical diagnosis and assessment. Self-supervised learning has shown promise in medical imaging by leveraging large unlabelled datasets to learn meaningful representations. In this study, we evaluate and compare two self

February 23, 2026

Model Image Processing Electrical Engineering and Systems Science

Foundation Models for Medical Imaging: Status, Challenges, and Directions

Foundation Models for Medical Imaging: Status, Challenges, and Directions

Foundation Models for Medical Imaging: Status, Challenges, and Directions

Foundation models (FMs) are rapidly reshaping medical imaging, shifting the field from narrowly trained, task-specific networks toward large, general-purpose models that can be adapted across modalities, anatomies, and clinical tasks. In this review, we synthesize the emerging landscape of medical i

February 23, 2026

Model Image Processing Electrical Engineering and Systems Science

An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions

An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions

An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions

Artificial intelligence (AI) models have demonstrated considerable potential in the imaging of acute ischemic stroke, especially in the detection and segmentation of lesions via computed tomography (CT) and magnetic resonance imaging (MRI). Nevertheless, the majority of existing approaches operate a

February 23, 2026

Framework Image Processing Electrical Engineering and Systems Science

Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels

Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels

Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels

The fully automated and relatively accurate method of brain tissues segmentation on T2-weighted magnetic resonance perfusion images is proposed. Segmentation with this method provides a possibility to obtain perfusion region of interest on images with abnormal brain anatomy that is very important fo

February 23, 2026

Computer Science Image Processing Electrical Engineering and Systems Science Computer Vision

MRI Super-Resolution with Ensemble Learning and Complementary Priors

MRI Super-Resolution with Ensemble Learning and Complementary Priors

MRI Super-Resolution with Ensemble Learning and Complementary Priors

Magnetic resonance imaging (MRI) is a widely used medical imaging modality. However, due to the limitations in hardware, scan time, and throughput, it is often clinically challenging to obtain high-quality MR images. The super-resolution approach is potentially promising to improve MR image quality

February 23, 2026

Image Processing Electrical Engineering and Systems Science Machine Learning Computer Science Physics Learning

Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy

Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy

Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy

Heart Failure is a major component of healthcare expenditure and a leading cause of mortality worldwide. Despite higher inter-rater variability, endomyocardial biopsy (EMB) is still regarded as the standard technique, used to identify the cause (e.g. ischemic or non-ischemic cardiomyopathy, coronary

February 23, 2026

Image Processing Electrical Engineering and Systems Science Machine Learning Computer Science Computer Vision

Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning

Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning

Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning

The automated detection of corrosion from images (i.e., photographs) or video (i.e., drone footage) presents significant advantages in terms of corrosion monitoring. Such advantages include access to remote locations, mitigation of risk to inspectors, cost savings and monitoring speed. The automated

February 23, 2026

Image Processing Electrical Engineering and Systems Science Computer Science HCI Detection Learning

Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data

Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data

Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data

Two dimensional (2D) peak finding is a common practice in data analysis for physics experiments, which is typically achieved by computing the local derivatives. However, this method is inherently unstable when the local landscape is complicated, or the signal-to-noise ratio of the data is low. In th

February 23, 2026

Image Processing Electrical Engineering and Systems Science Network Data Physics Condensed Matter

Combined Image Encryption and Steganography Algorithm in the Spatial Domain

Combined Image Encryption and Steganography Algorithm in the Spatial Domain

Combined Image Encryption and Steganography Algorithm in the Spatial Domain

In recent years, steganography has emerged as one of the main research areas in information security. Least significant bit (LSB) steganography is one of the fundamental and conventional spatial domain methods, which is capable of hiding larger secret information in a cover image without noticeable

February 23, 2026

Computer Science Image Processing Electrical Engineering and Systems Science Multimedia

An Internal Clock Based Space-time Neural Network for Motion Speed Recognition

An Internal Clock Based Space-time Neural Network for Motion Speed Recognition

An Internal Clock Based Space-time Neural Network for Motion Speed Recognition

In this work we present a novel internal clock based space-time neural network for motion speed recognition. The developed system has a spike train encoder, a Spiking Neural Network (SNN) with internal clocking behaviors, a pattern transformation block and a Network Dynamic Dependent Plasticity (NDD

February 23, 2026

Image Processing Electrical Engineering and Systems Science Network Neural Computing Computer Science Computer Vision

Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction

Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction

Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction

This study compares baseline (J0) and 24-hour (J1) diffusion magnetic resonance imaging (MRI) for predicting three-month functional outcomes after acute ischemic stroke (AIS). Seventy-four AIS patients with paired apparent diffusion coefficient (ADC) scans and clinical data were analyzed. Three-dime

February 23, 2026

Image Processing Electrical Engineering and Systems Science

< Category Statistics (Total: 5017) >

Astrophysics

658

Computer Science

1843

Condensed Matter

193

Economics

17

Electrical Engineering and Systems Science

94

General Relativity

66

General Research

781

HEP-EX

25

HEP-LAT

7

HEP-PH

79

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67

MATH-PH

79

NUCL-EX

6

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14

Nonlinear Sciences

180

Quantitative Biology

307

Quantitative Finance

159

Quantum Physics

67

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234

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