AIMC Topic: Neural Networks, Computer

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A review of deep learning approaches for multimodal image segmentation of liver cancer.

Journal of applied clinical medical physics Oct 7, 2024
This review examines the recent developments in deep learning (DL) techniques applied to multimodal fusion image segmentation for liver cancer. Hepatocellular carcinoma is a highly dangerous malignant tumor that requires accurate image segmentation f...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Deep Learning Multimodal Imaging Liver Neoplasms Carcinoma, Hepatocellular
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Application of artificial neural network for the mechano-bactericidal effect of bioinspired nanopatterned surfaces.

European biophysics journal : EBJ Oct 7, 2024
This study aimed to calculate the effect of nanopatterns' peak sharpness, width, and spacing parameters on P. aeruginosa and S. aureus cell walls by artificial neural network and finite element analysis. Elastic and creep deformation models of bacter...
Surface Properties Stress, Mechanical Mechanical Phenomena Finite Element Analysis Staphylococcus aureus Pseudomonas aeruginosa Neural Networks, Computer Nanostructures Anti-Bacterial Agents Biomechanical Phenomena
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A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Peripheral nerve interfaces (PNIs) can enable communication with the peripheral nervous system and have a broad range of applications including in bioelectronic medicine and neuroprostheses. They can modulate neural activity through stimulation or mo...
Algorithms Peripheral Nerves Unsupervised Machine Learning Reinforcement, Psychology Supervised Machine Learning Humans Neural Networks, Computer Machine Learning
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From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements. We developed two artifi...
Biomechanical Phenomena Male Muscle, Skeletal Female Torque Humans Neural Networks, Computer Young Adult Elbow Muscle Fatigue Healthy Volunteers Adult Elbow Joint Algorithms Transfer, Psychology Electromyography Computer Simulation
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A Wasserstein perspective of Vanilla GANs.

Neural networks : the official journal of the International Neural Network Society Oct 6, 2024
The empirical success of Generative Adversarial Networks (GANs) caused an increasing interest in theoretical research. The statistical literature is mainly focused on Wasserstein GANs and generalizations thereof, which especially allow for good dimen...
Humans Neural Networks, Computer Algorithms
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Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.

Journal of applied clinical medical physics Oct 6, 2024
PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM...
Lymphatic Metastasis Magnetic Resonance Imaging ROC Curve Image Processing, Computer-Assisted Lymph Nodes Uterine Cervical Neoplasms Middle Aged Deep Learning Neural Networks, Computer Machine Learning Prognosis Aged Humans Retrospective Studies Adult Female
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Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

Medical physics Oct 6, 2024
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to evaluate multiple new therapeutic drugs for high-risk breast cancer. Previous studies suggest that pathological complete response (pCR) is a viable indic...
Magnetic Resonance Imaging Uncertainty Deep Learning Treatment Outcome Neoadjuvant Therapy Humans Breast Neoplasms Antineoplastic Agents Neural Networks, Computer Female
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AI Prediction of Structural Stability of Nanoproteins Based on Structures and Residue Properties by Mean Pooled Dual Graph Convolutional Network.

Interdisciplinary sciences, computational life sciences Oct 5, 2024
The structural stability of proteins is an important topic in various fields such as biotechnology, pharmaceuticals, and enzymology. Specifically, understanding the structural stability of protein is crucial for protein design. Artificial design, whi...
Neural Networks, Computer Models, Molecular Protein Stability Protein Conformation Thermodynamics Artificial Intelligence Algorithms Proteins
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Cuprospinel decorated biopolymer functionalized CNFs based electrocatalytic platform integrated with grid search optimized neural network for detection of vital amino acid in beverages.

Food chemistry Oct 5, 2024
An electrocatalytic platform based on a novel nanocomposite integrated with a grid search-optimized neural network (GSNN) was proposed for intelligent sensing of tryptophan. The cuprospinel-decorated chitosan-functionalized carbon nanofibers (CuFeO/C...
Nanofibers Biopolymers Fruit and Vegetable Juices Limit of Detection Milk Catalysis Tryptophan Copper Electrodes Nanocomposites Solanum lycopersicum Beverages Chitosan Oxidation-Reduction Electrochemical Techniques Neural Networks, Computer Animals Carbon
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ExGAT: Context extended graph attention neural network.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2024
As an essential concept in attention, context defines the overall scope under consideration. In attention-based GNNs, context becomes the set of representation nodes of graph embedding. Current approaches choose immediate neighbors of the target or i...
Humans Attention Neural Networks, Computer Algorithms Computer Simulation
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