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Systems for Recognition and Intelligent Analysis of Biomedical Images
AbstractThe article is devoted to the achievements of the leading scientific school of Academician V.A. Soifer in the field of biomedical image...
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A new retrieval system based on quaternion radial orthogonal Jacobi moments for biomedical color images
The field of study in biomedical research needs to be carried out on human volunteers. Its aim is to improve knowledge of health matters after...
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Usage of biorthogonal wavelet filtering algorithm in data processing of biomedical images
Though bi-orthogonal filtering (BWF) algorithm has been applied in image processing, the image after processing still has the phenomenon of edge...
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Machine learning based biomedical image processing for echocardiographic images
The popularity of Artificial intelligence and machine learning have prompted researchers to use it in the recent researches. The proposed method uses...
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A secure data hiding system in biomedical images using grain 128a algorithm, logistic map** and elliptical curve cryptography
Telemedicine and teleconsultations have become rampant today, consequent to the pandemic scenario as well as the availability of seamless internet...
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Application of Daubechies Wavelets in Digital Processing of Biomedical Signals and Images
Wavelet analysis of one-dimensional signals has proven effective in deciphering the electrocardiogram (ECG). Promising results have already been...
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A survey on training challenges in generative adversarial networks for biomedical image analysis
In biomedical image analysis, the applicability of deep learning methods is directly impacted by the quantity of image data available. This is due to...
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On Effectiveness of the Adversarial Attacks on the Computer Systems of Biomedical Images Classification
The problems of vulnerability of the computer systems of biomedical images classification to adversarial attacks on are investigated. The aim of the...
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Automated biomedical image classification using multi-scale dense dilated semi-supervised u-net with cnn architecture
Biomedical research heavily relies on automated image classification to enhance understanding of protein structure and function. This study proposes...
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Hybrid query refinement based approach for enhanced biomedical image retrieval
With the advent of technology, abundant electronic biomedical data is available and extracting relevant information from huge data is a fundamental...
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Biomedical Knowledge Representation Learning
As a subject closely related to our life and understanding of the world, biomedicine keeps drawing much attention from researchers in recent years....
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A pixel and channel enhanced up-sampling module for biomedical image segmentation
Up-sampling operations are frequently utilized to recover the spatial resolution of feature maps in neural networks for segmentation task. However,...
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Biomedical Image Segmentation Using Fuzzy Artificial Cell Swarm Optimization (FACSO)
This article describes a novel unsupervised approach to segmenting biomedical images. The proposed approach will be known as Fuzzy Artificial Cell...
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Deep learning based search engine for biomedical images using convolutional neural networks
The development of efficient search engine queries for biomedical images, especially in case of query-mismatch is still defined as an ill-posed...
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Algorithms with Physics Inspiration Used in Biomedical Imaging for a Better Future
Algorithms inspired by physics are increasingly being used in biomedical imaging; these algorithms make use of physics principles to increase image...
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Biomedical Relation Extraction via Syntax-Enhanced Contrastive Networks
Extracting biomedical relations from biomedical literature automatically is essential for discovering new biomedical knowledge. However, in the...
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Augmented reality presentation system of skeleton image based on biomedical features
Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images,...
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GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging
In the biomedical imaging domain, large preprocessed samples of training annotated images are required in techniques employing neural networks for...
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Image Analysis and Enhancement: General Methods and Biomedical Applications
AbstractGeneral methods of image processing, analysis and enhancement and their biomedical applications developed by the scientific school of the...
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Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks
Biomedical High-Throughput Screening (HTS) requires specific properties of image compression. Particularly especially when archiving a huge number of...