AIMC Topic: Algorithms

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Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation.

Neural networks : the official journal of the International Neural Network Society Dec 15, 2024
Semi-supervised medical image segmentation endeavors to exploit a limited set of labeled data in conjunction with a substantial corpus of unlabeled data, with the aim of training models that can match or even exceed the efficacy of fully supervised s...
Neural Networks, Computer Machine Learning Humans Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Deep Learning
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Endocrine disruptor identification and multitoxicity level assessment of organic chemicals: An example of multiple machine learning models.

Journal of hazardous materials Dec 15, 2024
Endocrine-disrupting chemicals (EDCs) pollution is a major global environmental issue. Assessing the multiple toxic effects of EDCs is key to managing their risks. This study successfully developed an EDCs classification and recognition model based o...
Molecular Dynamics Simulation Endocrine Disruptors Organic Chemicals Environmental Pollutants Neural Networks, Computer Algorithms Animals Machine Learning
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Are we ready to integrate advanced artificial intelligence models in clinical laboratory?

Biochemia medica Dec 15, 2024
The application of advanced artificial intelligence (AI) models and algorithms in clinical laboratories is a new inevitable stage of development of laboratory medicine, since in the future, diagnostic and prognostic panels specific to certain disease...
Laboratories, Clinical Humans Artificial Intelligence Algorithms Precision Medicine Machine Learning
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CT image super-resolution under the guidance of deep gradient information.

Journal of X-ray science and technology Dec 15, 2024
Due to the hardware constraints of Computed Tomography (CT) imaging, acquiring high-resolution (HR) CT images in clinical settings poses a significant challenge. In recent years, convolutional neural networks have shown great potential in CT super-re...
Deep Learning Humans Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Neural Networks, Computer Phantoms, Imaging
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Artificial Intelligence-Assisted Comparative Analysis of the Overlapping Molecular Pathophysiology of Alzheimer's Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia.

International journal of molecular sciences Dec 15, 2024
The overlapping molecular pathophysiology of Alzheimer's Disease (AD), Amyotrophic Lateral Sclerosis (ALS), and Frontotemporal Dementia (FTD) was analyzed using relationships from a knowledge graph of 33+ million biomedical journal articles. The unsu...
Humans Frontotemporal Dementia Amyotrophic Lateral Sclerosis Artificial Intelligence Alzheimer Disease Algorithms
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A fully value distributional deep reinforcement learning framework for multi-agent cooperation.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2024
Distributional Reinforcement Learning (RL) extends beyond estimating the expected value of future returns by modeling its entire distribution, offering greater expressiveness and capturing deeper insights of the value function. To leverage this advan...
Humans Reinforcement, Psychology Reinforcement Machine Learning Deep Learning Neural Networks, Computer Cooperative Behavior Algorithms
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Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection.

Computers in biology and medicine Dec 14, 2024
In recent years, gene expression data analysis has gained growing significance in the fields of machine learning and computational biology. Typically, microarray gene datasets exhibit a scenario where the number of features exceeds the number of samp...
Algorithms Unsupervised Machine Learning Gene Expression Profiling Humans Computational Biology Databases, Genetic
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Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

Environmental science and pollution research international Dec 14, 2024
This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Services Model (IESM) for Sediment Retention (SR) modeling in the Kasilian watershed, Iran. The Kasilian watershed is characterized by multiple sub-water...
Algorithms Models, Theoretical Iran Geologic Sediments Ecosystem Deep Learning
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NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health.

Sensors (Basel, Switzerland) Dec 14, 2024
Visual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingern...
Self Care Image Processing, Computer-Assisted Nails Humans Artificial Intelligence Neural Networks, Computer Algorithms
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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology.

Sensors (Basel, Switzerland) Dec 14, 2024
Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. In this study, we applied a deep learning domain adversarial convolutional neural networ...
Deep Learning Male Neural Networks, Computer Young Adult Sleep Accelerometry Wearable Electronic Devices Adult Middle Aged Algorithms Humans Female
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