AIMC Topic: Deep Learning

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Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Scientific reports Mar 18, 2025
Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving the common practice of screening for Mild Cognitive Impairment (MCI). However, the progressive nature of AD makes it challenging to identify its causa...
Humans Neural Networks, Computer Brain Female Alzheimer Disease Aged Imaging, Three-Dimensional Male Positron-Emission Tomography Image Processing, Computer-Assisted Deep Learning Neuroimaging Magnetic Resonance Imaging Cognitive Dysfunction
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Optimizing deep neural networks for high-resolution land cover classification through data augmentation.

Environmental monitoring and assessment Mar 18, 2025
This study presents an innovative approach to high-resolution land cover classification using deep learning, tackling the challenge of working with an exceptionally small dataset. Manual annotation of land cover data is both time-consuming and labor-...
Environmental Monitoring Conservation of Natural Resources Spain Neural Networks, Computer Deep Learning
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Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review.

Journal of medical Internet research Mar 18, 2025
BACKGROUND: The use of structured electronic health records in health care systems has grown rapidly. These systems collect huge amounts of patient information, including diagnosis codes representing temporal medical history. Sequential diagnostic in...
Humans Electronic Health Records Deep Learning
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Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.

Frontiers in endocrinology Mar 18, 2025
OBJECTIVE: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).
Deep Learning Humans Tomography, Optical Coherence Diabetic Retinopathy Retina
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Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

PloS one Mar 18, 2025
The Stability of the economy is always a great challenge across the world, especially in under developed countries. Many researchers have contributed to forecasting the Stock Market and controlling the situation to ensure economic stability over the ...
Investments Humans Models, Economic Forecasting Neural Networks, Computer Commerce Deep Learning Memory, Short-Term
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Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study.

Annals of medicine Mar 17, 2025
OBJECTIVE: Asherman's syndrome (AS) is a significant cause of subfertility in women from developing countries. Over 80% of AS cases in these regions are linked to dilation and curettage (D&C) procedures following pregnancy. The incidence of AS in pat...
Algorithms Pregnancy Female Humans Artificial Intelligence Fertility Hysteroscopy Gynatresia China Infertility, Female Endometrium Adult Deep Learning
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Progress in machine learning-supported electronic nose and hyperspectral imaging technologies for food safety assessment: A review.

Food research international (Ottawa, Ont.) Mar 17, 2025
The growing concern over food safety, driven by threats such as food contaminations and adulterations has prompted the adoption of advanced technologies like electronic nose (e-nose) and hyperspectral imaging (HSI), which are increasingly enhanced by...
Humans Neural Networks, Computer Hyperspectral Imaging Food Safety Electronic Nose Machine Learning Deep Learning Food Contamination
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Histopathology image classification based on semantic correlation clustering domain adaptation.

Artificial intelligence in medicine Mar 17, 2025
Deep learning has been successfully applied to histopathology image classification tasks. However, the performance of deep models is data-driven, and the acquisition and annotation of pathological image samples are difficult, which limit the model's ...
Image Interpretation, Computer-Assisted Semantics Deep Learning Image Processing, Computer-Assisted Cluster Analysis Humans Animals
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Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Computers in biology and medicine Mar 17, 2025
Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis posits that implementing micro- and nanoscale DTs, e...
Federated Learning Bacteria Internet of Things Humans Neural Networks, Computer Algorithms Deep Learning Convolutional Neural Networks
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Male Middle Aged Deep Learning Aged Adult Humans Imaging, Three-Dimensional Retrospective Studies Image Enhancement Cerebrovascular Disorders Female Signal-To-Noise Ratio Image Interpretation, Computer-Assisted Magnetic Resonance Angiography
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