AIMC Topic: Neural Networks, Computer

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Development and multicenter validation of deep convolutional neural network-based detection of colorectal cancer on abdominal CT.

European radiology Feb 1, 2024
OBJECTIVES: This study aims to develop computer-aided detection (CAD) for colorectal cancer (CRC) using abdominal CT based on a deep convolutional neural network.
Middle Aged Adenocarcinoma Radiographic Image Interpretation, Computer-Assisted Radiography, Abdominal Sensitivity and Specificity Colorectal Neoplasms Male Aged, 80 and over Adult Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans
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Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2024
A Temporal Knowledge Graph (TKG) is a sequence of Knowledge Graphs (KGs) attached with time information, in which each KG contains the facts that co-occur at the same timestamp. Temporal knowledge prediction (TKP) aims to predict future events given ...
Knowledge Algorithms Uncertainty Humans Time Factors Neural Networks, Computer Bayes Theorem
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Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.

Magma (New York, N.Y.) Feb 1, 2024
OBJECTIVE: Increased subcutaneous and visceral adipose tissue (SAT/VAT) volume is associated with risk for cardiometabolic diseases. This work aimed to develop and evaluate automated abdominal SAT/VAT segmentation on longitudinal MRI in adults with o...
Imaging, Three-Dimensional Overweight Longitudinal Studies Contrast Media Magnetic Resonance Imaging Adult Male Neural Networks, Computer Middle Aged Algorithms Reproducibility of Results Female Aged Humans Abdominal Fat Obesity Intra-Abdominal Fat Image Interpretation, Computer-Assisted
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Convolutional neural network based on the fusion of image classification and segmentation module for weed detection in alfalfa.

Pest management science Feb 1, 2024
BACKGROUND: Accurate and reliable weed detection in real time is essential for realizing autonomous precision herbicide application. The objective of this research was to propose a novel neural network architecture to improve the detection accuracy f...
Plant Weeds Weed Control Image Processing, Computer-Assisted Medicago sativa Neural Networks, Computer
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A physically constrained Monte Carlo-Neural Network coupling algorithm for BNCT dose calculation.

Medical physics Feb 1, 2024
BACKGROUND: In boron neutron capture therapy (BNCT)-a form of binary radiotherapy-the primary challenge in treatment planning systems for dose calculations arises from the time-consuming nature of the Monte Carlo (MC) method. Recent progress, includi...
Humans Radiation Dosage Radiotherapy Dosage Monte Carlo Method Neural Networks, Computer Algorithms Radiotherapy Planning, Computer-Assisted Boron Neutron Capture Therapy
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Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2024
We introduce the Discrete-Temporal Sobolev Network (DTSN), a neural network loss function that assists dynamical system forecasting by minimizing variational differences between the network output and the training data via a temporal Sobolev norm. Th...
Learning Neural Networks, Computer Algorithms Forecasting
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Cancer detection and classification using a simplified binary state vector machine.

Medical & biological engineering & computing Feb 1, 2024
Cancer is an invasive and malignant growth of cells and is known to be one of the most fatal diseases. Its early detection is essential for decreasing the mortality rate and increasing the probability of survival. This study presents an efficient mac...
Machine Learning Algorithms Neoplasms Neural Networks, Computer Support Vector Machine Probability
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Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors.

Advanced materials (Deerfield Beach, Fla.) Feb 1, 2024
Neuromorphic visual sensors (NVS) based on photonic synapses hold a significant promise to emulate the human visual system. However, current photonic synapses rely on exquisite engineering of the complex heterogeneous interface to realize learning an...
Humans Neural Networks, Computer Calcium Compounds Oxides Vision, Ocular Titanium Photons Synapses
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Optimization of medium components for protein production by Escherichia coli with a high-throughput pipeline that uses a deep neural network.

Journal of bioscience and bioengineering Feb 1, 2024
To optimize rapidly the medium for green fluorescent protein expression by Escherichia coli with an introduced plasmid, pRSET/emGFP, a single-cycle optimization pipeline was applied. The pipeline included a deep neural network (DNN) and mathematical ...
Green Fluorescent Proteins Algorithms Escherichia coli Neural Networks, Computer Bayes Theorem
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The Success of Deep Learning Modalities in Evaluating Modic Changes.

World neurosurgery Feb 1, 2024
BACKGROUND: Modic changes are pathologies that are common in the population and cause low back pain. The aim of the study is to analyze the modic changes detected in magnetic resonance imaging (MRI) using deep learning modalities.
Lumbosacral Region Humans Magnetic Resonance Imaging Neural Networks, Computer Low Back Pain Female Male Deep Learning
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