AIMC Topic: Algorithms

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Building simplified cancer subtyping and prediction models with glycan gene signatures.

Cell reports methods Aug 11, 2025
We identified a gene panel comprising 71 glycosyltransferases (GTs) that alter glycan patterns on cancer cells as they become more virulent. When these cancer-pattern GTs (CPGTs) were run through an algorithm trained on The Cancer Genome Atlas, they ...
Machine Learning Algorithms Prognosis Humans Glioma Polysaccharides Glycosyltransferases Breast Neoplasms Neoplasms Female
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis.

Scientific reports Aug 11, 2025
Recent innovations in medical imaging have markedly improved brain tumor identification, surpassing conventional diagnostic approaches that suffer from low resolution, radiation exposure, and limited contrast. Magnetic Resonance Imaging (MRI) is pivo...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Humans Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms Neural Networks, Computer Deep Learning
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Human adaptation to adaptive machines converges to game-theoretic equilibria.

Scientific reports Aug 11, 2025
Here we test three learning algorithms for machines playing general-sum games with human subjects. The algorithms enable the machine to select the outcome of the co-adaptive interaction from a constellation of game-theoretic equilibria in action and ...
Game Theory Machine Learning Algorithms Humans
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Ethical considerations and robustness of artificial neural networks in medical image analysis under data corruption.

Scientific reports Aug 11, 2025
Medicine is one of the most sensitive fields in which artificial intelligence (AI) is extensively used, spanning from medical image analysis to clinical support. Specifically, in medicine, where every decision may severely affect human lives, the iss...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Artificial Intelligence Diagnostic Imaging Algorithms
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Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs.

Scientific reports Aug 11, 2025
Idiopathic osteosclerosis (IOS) and condensing osteitis (CO) represent radiopaque lesions often detected incidentally within the jaws, posing substantial diagnostic challenges due to their overlapping radiographic characteristics. The objective of th...
Male Middle Aged ROC Curve Radiography, Panoramic Deep Learning Retrospective Studies Female Adult Artificial Intelligence Algorithms Osteitis Humans Osteosclerosis
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Enhancing synthetic pelvic CT generation from CBCT using vision transformer with adaptive fourier neural operators.

Biomedical physics & engineering express Aug 11, 2025
This study introduces a novel approach to improve Cone Beam CT (CBCT) image quality by developing a synthetic CT (sCT) generation method using CycleGAN with a Vision Transformer (ViT) and an Adaptive Fourier Neural Operator (AFNO).A dataset of 20 pro...
Fourier Analysis Image Processing, Computer-Assisted Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiosurgery Pelvis Algorithms Male Cone-Beam Computed Tomography Humans Neural Networks, Computer
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Evaluation of coseismic landslide susceptibility by combining Newmark model and XGBoost algorithm.

PloS one Aug 11, 2025
Coseismic landslides are among the most perilous geological disasters in hilly places after earthquakes. Precise assessment of coseismic landslide susceptibility is crucial for forecasting the effects of landslides and alleviating subsequent tragedie...
Monte Carlo Method Disasters Landslides Earthquakes Boosting Machine Learning Algorithms Machine Learning Algorithms Models, Theoretical
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Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm.

PloS one Aug 11, 2025
With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. However, the existing methods often face the problems of low segmentation accuracy...
Textiles Clustering Algorithms Image Processing, Computer-Assisted Cluster Analysis Color Neural Networks, Computer Algorithms
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Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.

PloS one Aug 11, 2025
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...
Biodiversity Fishes Video Recording Deep Learning Image Processing, Computer-Assisted Animals Ecosystem Algorithms
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A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network.

PloS one Aug 11, 2025
As a critical component of industrial equipment, the fault diagnosis of rolling bearings is essential for reducing unplanned downtime and improving equipment reliability. Existing methods achieve an accuracy of no more than 92% in low signal-to-noise...
Algorithms Convolutional Neural Networks Signal-To-Noise Ratio Humans Neural Networks, Computer
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