AIMC Topic: Image Processing, Computer-Assisted

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Brain tumor segmentation and classification using MRI: Modified segnet model and hybrid deep learning architecture with improved texture features.

Computational biology and chemistry Feb 17, 2025
Brain tumors are quickly overtaking all other causes of death worldwide. The failure to perform a timely diagnosis is the main cause of increasing the death rate. Traditional methods of brain tumor diagnosis heavily rely on the expertise of radiologi...
Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Humans Brain Neoplasms
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Application of deep learning for evaluation of the growth rate of Daphnia magna.

Journal of bioscience and bioengineering Feb 17, 2025
For the safe use of chemicals widely used in human activities, it is crucial to assess their ecological impacts when released into the environment. Daphnia, a well-established environmental indicator species, is commonly used to evaluate the biologic...
Daphnia Daphnia magna Deep Learning Image Processing, Computer-Assisted Animals
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FusionNet: Dual input feature fusion network with ensemble based filter feature selection for enhanced brain tumor classification.

Brain research Feb 17, 2025
Brain tumors pose a significant threat to human health, require a precise and quick diagnosis for effective treatment. However, achieving high diagnostic accuracy with traditional methods remains challenging due to the complex nature of brain tumors....
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning Image Processing, Computer-Assisted Brain Brain Neoplasms
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Label-efficient sequential model-based weakly supervised intracranial hemorrhage segmentation in low-data non-contrast CT imaging.

Medical physics Feb 17, 2025
BACKGROUND: In clinical settings, intracranial hemorrhages (ICH) are routinely diagnosed using non-contrast CT (NCCT) in emergency stroke imaging for severity assessment. However, compared to magnetic resonance imaging (MRI), ICH shows low contrast a...
Image Processing, Computer-Assisted Supervised Machine Learning Intracranial Hemorrhages Humans Tomography, X-Ray Computed
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Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors Feb 17, 2025
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...
COVID-19 SARS-CoV-2 Neural Networks, Computer Machine Learning Support Vector Machine Immunoassay Surface Plasmon Resonance Image Processing, Computer-Assisted Biosensing Techniques Humans Microscopy
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Multi-label segmentation of carpal bones in MRI using expansion transfer learning.

Physics in medicine and biology Feb 17, 2025
The purpose of this study was to develop a robust deep learning approach trained with a smallMRI dataset for multi-label segmentation of all eight carpal bones for therapy planning and wrist dynamic analysis.A small dataset of 15 3.0-T MRI scans from...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Carpal Bones Humans Deep Learning
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Machine learning approaches for image classification in developmental biology and clinical embryology.

Development (Cambridge, England) Feb 17, 2025
The rapid increase in the amount of available biological data together with increasing computational power and innovative new machine learning algorithms has resulted in great potential for machine learning approaches to revolutionise image analysis ...
Animals Image Processing, Computer-Assisted Embryology Developmental Biology Machine Learning Algorithms Humans
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Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network.

Journal of biomedical optics Feb 17, 2025
SIGNIFICANCE: Current methods for complex conjugate removal (CCR) in frequency-domain optical coherence tomography (FD-OCT) often require additional hardware components, which increase system complexity and cost. A software-based solution would provi...
Eye Generative Adversarial Networks Humans Mice Tomography, Optical Coherence Artifacts Phantoms, Imaging Skin Deep Learning Image Processing, Computer-Assisted Algorithms Animals
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Mixed-Supervised Learning for Cell Classification.

Sensors (Basel, Switzerland) Feb 16, 2025
Cell classification based on histopathology images is crucial for tumor recognition and cancer diagnosis. Using deep learning, classification accuracy is hugely improved. Semi-supervised learning is an advanced deep learning approach that uses both l...
Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted Humans Algorithms Neoplasms
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Neighbor-aware calibration of segmentation networks with penalty-based constraints.

Medical image analysis Feb 15, 2025
Ensuring reliable confidence scores from deep neural networks is of paramount significance in critical decision-making systems, particularly in real-world domains such as healthcare. Recent literature on calibrating deep segmentation networks has res...
Humans Deep Learning Image Processing, Computer-Assisted Calibration Neural Networks, Computer Algorithms
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