AI Medical Compendium Journal:
Medical & biological engineering & computing

Showing 31 to 40 of 330 articles

Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.

Medical & biological engineering & computing Oct 28, 2024
Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds significant clinical value for diagnosing temporomandibular joint osteoarthrosis (TMJOA) and related conditions. Convolutional neural network-based medic...
Machine Learning Algorithms Female Humans Neural Networks, Computer Image Processing, Computer-Assisted Temporomandibular Joint Disorders Ensemble Learning Cone-Beam Computed Tomography Imaging, Three-Dimensional Temporomandibular Joint
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Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging.

Medical & biological engineering & computing Oct 25, 2024
Deep neural networks (DNNs) have demonstrated exceptional performance in medical image analysis. However, recent studies have uncovered significant vulnerabilities in DNN models, particularly their susceptibility to adversarial attacks that manipulat...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Computer Security Algorithms Neural Networks, Computer Deep Learning
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VCU-Net: a vascular convolutional network with feature splicing for cerebrovascular image segmentation.

Medical & biological engineering & computing Oct 25, 2024
Cerebrovascular image segmentation is one of the crucial tasks in the field of biomedical image processing. Due to the variable morphology of cerebral blood vessels, the traditional convolutional kernel is weak in perceiving the structure of elongate...
Image Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Brain
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Structure preservation constraints for unsupervised domain adaptation intracranial vessel segmentation.

Medical & biological engineering & computing Oct 21, 2024
Unsupervised domain adaptation (UDA) has received interest as a means to alleviate the burden of data annotation. Nevertheless, existing UDA segmentation methods exhibit performance degradation in fine intracranial vessel segmentation tasks due to th...
Humans Neural Networks, Computer Unsupervised Machine Learning Magnetic Resonance Angiography Computed Tomography Angiography Brain Image Processing, Computer-Assisted Algorithms
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Evaluating deep learning techniques for optimal neurons counting and characterization in complex neuronal cultures.

Medical & biological engineering & computing Oct 17, 2024
The counting and characterization of neurons in primary cultures have long been areas of significant scientific interest due to their multifaceted applications, ranging from neuronal viability assessment to the study of neuronal development. Traditio...
Cells, Cultured Animals Deep Learning Algorithms Neurons Image Processing, Computer-Assisted Cell Count
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Contour-constrained branch U-Net for accurate left ventricular segmentation in echocardiography.

Medical & biological engineering & computing Oct 17, 2024
Using echocardiography to assess the left ventricular function is one of the most crucial cardiac examinations in clinical diagnosis, and LV segmentation plays a particularly vital role in medical image processing as many important clinical diagnosti...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Heart Ventricles Echocardiography
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Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis.

Medical & biological engineering & computing Oct 10, 2024
PURPOSE: In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in deve...
Neural Networks, Computer Machine Learning Female Aged Computer Simulation Humans Cohort Studies Aged, 80 and over Models, Statistical Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Male Heart Valve Prosthesis Aortic Valve
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Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach.

Medical & biological engineering & computing Oct 10, 2024
This study explores the bidirectional relation of esophageal squamous cell carcinoma (ESCC) and oral squamous cell carcinoma (OSCC), examining shared risk factors and underlying molecular mechanisms. By employing random forest (RF) classifier, enhanc...
Databases, Genetic MicroRNAs Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Mouth Neoplasms Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Carcinoma, Squamous Cell Gene Expression Profiling Humans Machine Learning
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A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system.

Medical & biological engineering & computing Sep 30, 2024
Recent advancements in deep learning have significantly improved the intelligent classification of gastrointestinal (GI) diseases, particularly in aiding clinical diagnosis. This paper seeks to review a computer-aided diagnosis (CAD) system for GI di...
Diagnosis, Computer-Assisted Deep Learning Gastrointestinal Diseases Humans Algorithms
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An improved algorithm for salient object detection of microscope based on U-Net.

Medical & biological engineering & computing Sep 26, 2024
With the rapid advancement of modern medical technology, microscopy imaging systems have become one of the key technologies in medical image analysis. However, manual use of microscopes presents issues such as operator dependency, inefficiency, and t...
Microscopy Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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