AIMC Topic: Deep Learning

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VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning.

Expert review of medical devices Mar 30, 2025
OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for preventing vision loss. Recently, deep learning techniques have shown promising results in streamlining this process. The objective of this study was to...
Humans Diabetic Retinopathy Deep Learning Image Processing, Computer-Assisted
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Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi-agent copilot approach.

Annals of the New York Academy of Sciences Mar 30, 2025
Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can interact with the environment. Brain-computer interface (BCI) systems decipher human implicit brain signals regardless of the explicit environment....
Brain-Computer Interfaces Brain Humans Reinforcement, Psychology Deep Learning Reinforcement Machine Learning Algorithms Electroencephalography
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Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models.

Food chemistry Mar 29, 2025
The current work explores hyperspectral imaging (HSI) to quantitatively identify changes in TVB-N and K value during shrimp flesh deterioration. The work developed low-level data fusion (LLF) and predictive models using both machine learning methods ...
Penaeidae Shellfish Machine Learning Seafood Animals Hyperspectral Imaging Deep Learning
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Separating obstructive and central respiratory events during sleep using breathing sounds: Utilizing transfer learning on deep convolutional networks.

Sleep medicine Mar 29, 2025
Sleep apnea diagnosis relies on polysomnography (PSG), which is resource-intensive and requires manual analysis to differentiate obstructive sleep apnea (OSA) from central sleep apnea (CSA). Existing portable devices, while valuable in detecting slee...
Male Middle Aged Deep Learning Female Adult Sensitivity and Specificity Sleep Apnea, Central Sleep Apnea, Obstructive Polysomnography Respiratory Sounds Humans Neural Networks, Computer
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A review of denoising methods in single-particle cryo-EM.

Micron (Oxford, England : 1993) Mar 29, 2025
Cryo-EM has become a vital technique for resolving macromolecular structures at near-atomic resolution, enabling the visualization of proteins and large molecular complexes. However, the images are often accompanied by extremely low SNR, which poses ...
Deep Learning Imaging, Three-Dimensional Cryoelectron Microscopy Image Processing, Computer-Assisted Macromolecular Substances Proteins Signal-To-Noise Ratio Single Molecule Imaging
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Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Ultrasonic imaging Mar 29, 2025
Exploring the clinical significance of employing deep learning methodologies on ultrasound images for the development of an automated model to accurately identify pleomorphic adenomas and Warthin tumors in salivary glands. A retrospective study was c...
Middle Aged Deep Learning Ultrasonography Adult Humans Sensitivity and Specificity Retrospective Studies Male Female Image Interpretation, Computer-Assisted Diagnosis, Differential Aged Adenoma, Pleomorphic Parotid Gland Adenolymphoma Young Adult Parotid Neoplasms
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Proton dose calculation with transformer: Transforming spot map to dose.

Medical physics Mar 29, 2025
BACKGROUND: Conventional proton dose calculation methods are either time- and resource-intensive, like Monte Carlo (MC) simulations, or they sacrifice accuracy, as seen with analytical methods. This trade-off between computational efficiency and accu...
Radiosurgery Monte Carlo Method Proton Therapy Radiometry Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Deep Learning Prostatic Neoplasms Humans Male
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Guided ultrasound acquisition for nonrigid image registration using reinforcement learning.

Medical image analysis Mar 29, 2025
We propose a guided registration method for spatially aligning a fixed preoperative image and untracked ultrasound image slices. We exploit the unique interactive and spatially heterogeneous nature of this application to develop a registration algori...
Humans Ultrasonography Image Processing, Computer-Assisted Surgery, Computer-Assisted Machine Learning Algorithms Deep Learning
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Deep structural brain imaging via computational three-photon microscopy.

Journal of biomedical optics Mar 29, 2025
SIGNIFICANCE: High-resolution optical imaging at significant depths is challenging due to scattering, which impairs image quality in living matter with complex structures. We address the need for improved imaging techniques in deep tissues.
Mice Hippocampus Neuroimaging Signal-To-Noise Ratio Microscopy, Fluorescence, Multiphoton Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Brain Animals
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A novel deep learning-based model for automated tooth detection and numbering in mixed and permanent dentition in occlusal photographs.

BMC oral health Mar 29, 2025
BACKGROUND: While artificial intelligence-driven approaches have shown great promise in dental diagnosis and treatment planning, most research focuses on dental radiographs. Only three studies have explored automated tooth numbering in oral photograp...
Humans Photography, Dental Dentition, Permanent Dentition, Mixed Neural Networks, Computer Deep Learning Tooth
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