AIMC Topic: Neural Networks, Computer

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A comparative analysis of deep learning models for assisting in the diagnosis of periapical lesions in periapical radiographs.

BMC oral health May 26, 2025
PURPOSE: Numerous studies have investigated the use of convolutional neural network (CNN) models for detecting periapical lesions(PLs). However, limited research has focused on evaluating their potential in assisting clinicians with diagnosis. This s...
Periapical Diseases Humans Radiography, Dental Neural Networks, Computer Sensitivity and Specificity Deep Learning
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Auto-segmentation of cerebral cavernous malformations using a convolutional neural network.

BMC medical imaging May 26, 2025
BACKGROUND: This paper presents a deep learning model for the automated segmentation of cerebral cavernous malformations (CCMs).
Humans Neural Networks, Computer Female Adult Deep Learning Magnetic Resonance Imaging Hemangioma, Cavernous, Central Nervous System Convolutional Neural Networks Male Radiosurgery Middle Aged
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Digital image enhancement using deep learning algorithm in 3D heads-up vitreoretinal surgery.

Scientific reports May 26, 2025
This study aims to predict the optimal imaging parameters using a deep learning algorithm in 3D heads-up vitreoretinal surgery and assess its effectiveness on improving the vitreoretinal surface visibility during surgery. To develop the deep learning...
Image Enhancement Signal-To-Noise Ratio Vitreoretinal Surgery Epiretinal Membrane Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Algorithms Humans
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Smart neural network and cognitive computing process for multi task nuclei detection segmentation and classification in breast cancer histopathology images.

Scientific reports May 26, 2025
The detection, segmentation, and differentiation of benign and malignant nuclei from the histopathology images is a challenging task for the early diagnosis of breast cancer. Misinterpretation of True Negative (TN) and False Positive (FP) can generat...
Female Breast Neoplasms Humans Neural Networks, Computer Cell Nucleus Deep Learning Image Processing, Computer-Assisted
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Utilizing Dual-Channel Graph and Hypergraph Convolution Network to Discover Microbes Underlying Disease Traits.

Journal of chemical information and modeling May 26, 2025
Discovering microbes underlying disease traits opens up opportunities for the diagnosis and effective treatment of diseases. However, traditional methods are often based on biological experiments, which are not only time-consuming but also costly, dr...
Humans Computational Biology Disease Neural Networks, Computer Algorithms
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Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.

Journal of chemical information and modeling May 26, 2025
The fusion of traditional chemical descriptors with graph neural networks (GNNs) offers a compelling strategy for enhancing ligand-based virtual screening methodologies. A comprehensive evaluation revealed that the benefits derived from this integrat...
Neural Networks, Computer Graph Neural Networks Drug Discovery Drug Evaluation, Preclinical Ligands
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Toward Accurate PAH IR Spectra Prediction: Handling Charge Effects with Classical and Deep Learning Models.

Journal of chemical information and modeling May 26, 2025
Polycyclic aromatic hydrocarbons (PAHs) play a crucial role in astrochemistry, environmental studies, and combustion chemistry, yet interpreting their infrared (IR) spectra remains challenging due to the similarity of spectral features of many molecu...
Deep Learning Polycyclic Aromatic Hydrocarbons Neural Networks, Computer Spectrophotometry, Infrared
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Atomic Energy Accuracy of Neural Network Potentials: Harnessing Pretraining and Transfer Learning.

Journal of chemical information and modeling May 26, 2025
Machine learning-based interatomic potentials (MLIPs) have transformed the prediction of potential energy surfaces (PESs), achieving accuracy comparable to calculations. However, atomic energy predictions, often assumed to lack physical meaning, rem...
Machine Learning Neural Networks, Computer Density Functional Theory Thermodynamics
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Combining graph neural network and Mamba to capture local and global tissue spatial relationships in whole slide images.

Scientific reports May 25, 2025
In computational pathology, extracting and representing spatial features from gigapixel whole slide images (WSIs) are fundamental tasks, but due to their large size, WSIs are typically segmented into smaller tiles. A critical aspect of analyzing WSIs...
Adenocarcinoma of Lung Image Processing, Computer-Assisted Algorithms Humans Graph Neural Networks Neural Networks, Computer Lung Neoplasms Prognosis
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Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networks.

Communications biology May 25, 2025
Cryogenic electron microscopy (CryoEM) produces structures of macromolecules at near-atomic resolution. However, building molecular models with good stereochemical geometry from those structures can be challenging and time-consuming, especially when ...
Models, Molecular Neural Networks, Computer Cryoelectron Microscopy Macromolecular Substances Deep Learning Normal Distribution
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