AIMC Topic: Deep Learning

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Interactive prototype learning and self-learning for few-shot medical image segmentation.

Artificial intelligence in medicine Jun 18, 2025
Few-shot learning alleviates the heavy dependence of medical image segmentation on large-scale labeled data, but it shows strong performance gaps when dealing with new tasks compared with traditional deep learning. Existing methods mainly learn the c...
Image Processing, Computer-Assisted Machine Learning Diagnostic Imaging Algorithms Deep Learning Humans Image Interpretation, Computer-Assisted Neural Networks, Computer
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MDEANet: A multi-scale deep enhanced attention net for popliteal fossa segmentation in ultrasound images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 18, 2025
Popliteal sciatic nerve block is a widely used technique for lower limb anesthesia. However, despite ultrasound guidance, the complex anatomical structures of the popliteal fossa can present challenges, potentially leading to complications. To accura...
Ultrasonography, Interventional Sciatic Nerve Ultrasonography Nerve Block Humans Deep Learning
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Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models.

Computers in biology and medicine Jun 18, 2025
Coronary artery disease involves the narrowing of coronary vessels due to atherosclerosis and is currently the leading cause of death worldwide. The gold standard for its diagnosis is the fractional flow reserve (FFR) examination, which measures the ...
Humans Coronary Vessels Models, Cardiovascular Fractional Flow Reserve, Myocardial Deep Learning Coronary Artery Disease Hemodynamics
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Develop intelligent waste bin prototype based on fusion feature recognition of sounds and RGB images.

Waste management (New York, N.Y.) Jun 18, 2025
Sorting municipal solid waste (MSW) at the source is a critical first step toward achieving a circular economy. Previous research has primarily focused on vision-based intelligent algorithms for MSW classification using red-green-blue (RGB) images. S...
Waste Management Refuse Disposal Image Processing, Computer-Assisted Sound Neural Networks, Computer Algorithms Deep Learning Solid Waste
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Smartphone eye-tracking with deep learning: Data quality and field testing.

Behavior research methods Jun 18, 2025
Eye-tracking is widely used to measure human attention in research, commercial, and clinical applications. With the rapid advancements in artificial intelligence and mobile computing, deep learning algorithms for computer vision-based eye tracking ha...
Attention Data Accuracy Eye-Tracking Technology Young Adult Adult Deep Learning Depression Humans Eye Movements Male Female Smartphone
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets.

PloS one Jun 18, 2025
Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges, necessitating improved approaches. This study employs various machine learning (ML) algorithms, including KNN,...
Humans Deep Learning Support Vector Machine Machine Learning Female Algorithms Breast Neoplasms
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Study on the quantitative analysis of Tilianin based on Raman spectroscopy combined with deep learning.

PloS one Jun 18, 2025
Tilianin is a commonly used pharmaceutical ingredient with various biological activities such as antioxidant, anti-inflammatory, and anticancer, which is able to exert antitumor effects by inhibiting tumor cell proliferation, inducing apoptosis and i...
Deep Learning Spectrum Analysis, Raman Chromatography, High Pressure Liquid
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.

PloS one Jun 18, 2025
As one of the most critical post-replication modifications, N6-methylation (6mA) at adenine residue plays an important role in a variety of biological functions. Existing computational methods for identifying 6mA sites across large genomic regions te...
ROC Curve Computational Biology Oryza Adenine DNA Methylation Neural Networks, Computer Deep Learning Convolutional Neural Networks Genome, Plant
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Research on learning achievement classification based on machine learning.

PloS one Jun 18, 2025
Academic achievement is an important index to measure the quality of education and students' learning outcomes. Reasonable and accurate prediction of academic achievement can help improve teachers' educational methods. And it also provides correspond...
Students Deep Learning Male Academic Success Educational Measurement Learning Machine Learning Humans Female
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Development and validation of a deep learning-based automatic classification algorithm for the medial temporal lobe atrophy score using a multimodality cascade transformer.

Clinical radiology Jun 17, 2025
AIM: The aim of this study was to develop and validate a deep learning-based automatic classification algorithm for the medial temporal lobe atrophy (MTA) score in patients with cognitive impairment.
Aged Male Middle Aged Female Reproducibility of Results Atrophy Temporal Lobe Classification Algorithms Cognitive Dysfunction Magnetic Resonance Imaging Deep Learning Algorithms Retrospective Studies Humans
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