AIMC Topic: Convolutional Neural Networks

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Classification and Pixel Change Detection of Brain Tumor Using Adam Kookaburra Optimization-Based Shepard Convolutional Neural Network.

NMR in biomedicine Feb 1, 2025
The uncommon growth of cells in the brain is termed as brain tumor. To identify chronic nerve problems, like strokes, brain tumors, multiple sclerosis, and dementia, brain magnetic resonance imaging (MRI) is normally utilized. Identifying the tumor o...
Neural Networks, Computer Algorithms Brain Neoplasms Convolutional Neural Networks Magnetic Resonance Imaging Humans
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Evaluation of automated pediatric sleep stage classification using U-Sleep: a convolutional neural network.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Feb 1, 2025
STUDY OBJECTIVES: U-Sleep is a publicly available automated sleep stager, but has not been independently validated using pediatric data. We aimed to (1) test the hypothesis that U-Sleep performance is equivalent to trained humans, using a concordance...
Adolescent Humans Neural Networks, Computer Polysomnography Child, Preschool Reproducibility of Results Female Sleep Stages Child Male Convolutional Neural Networks
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Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 17, 2025
PURPOSE: Necrosis quantification in the neoadjuvant setting using pathology slide review is the most important validated prognostic marker in conventional osteosarcoma. Herein, we explored three deep-learning strategies on histology samples to predic...
Kaplan-Meier Estimate Necrosis Osteosarcoma Bone Neoplasms Prognosis Convolutional Neural Networks Adult Humans Female Adolescent Neural Networks, Computer Male Young Adult Neoadjuvant Therapy Deep Learning
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Enhancement of structural and functional photoacoustic imaging based on a reference-inputted convolutional neural network.

Optics express Jan 13, 2025
Photoacoustic microscopy has demonstrated outstanding performance in high-resolution functional imaging. However, in the process of photoacoustic imaging, the photoacoustic signals will be polluted by inevitable background noise. Besides, the image q...
Mice Signal-To-Noise Ratio Phantoms, Imaging Photoacoustic Techniques Humans Animals Ear Neural Networks, Computer Convolutional Neural Networks Microvessels Image Processing, Computer-Assisted
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SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation.

PloS one Jan 1, 2025
Medical image segmentation plays an important role in medical diagnosis and treatment. Most recent medical image segmentation methods are based on a convolutional neural network (CNN) or Transformer model. However, CNN-based methods are limited by lo...
Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural network.

PloS one Jan 1, 2025
Genome-wide association studies (GWAS) have successfully uncovered numerous associations between genetic variants and disease traits to date. Yet, identifying significantly associated loci remains a considerable challenge due to the concomitant multi...
Humans Polymorphism, Single Nucleotide DNA Methylation Neural Networks, Computer CpG Islands Convolutional Neural Networks Genome-Wide Association Study Genetic Predisposition to Disease Quantitative Trait Loci
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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.

PloS one Jan 1, 2025
Cotton is a major cash crop, and increasing its production is extremely important worldwide, especially in agriculture-led economies. The crop is susceptible to various diseases, leading to decreased yields. In recent years, advancements in deep lear...
Neural Networks, Computer Deep Learning Plant Diseases Convolutional Neural Networks Gossypium Support Vector Machine
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Application of a grey wolf optimization-enhanced convolutional neural network and bidirectional gated recurrent unit model for credit scoring prediction.

PloS one Jan 1, 2025
With the digital transformation of the financial industry, credit score prediction, as a key component of risk management, faces increasingly complex challenges. Traditional credit scoring methods often have difficulty in fully capturing the characte...
Neural Networks, Computer Algorithms Convolutional Neural Networks Financial Management Humans
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Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis.

PloS one Jan 1, 2025
INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals with HIV. Predicting the incidence of disease-related complications is challenging, for which purpose the value of brain magnetic resonance imaging (MR...
Male Middle Aged Convolutional Neural Networks Female Adult Tuberculosis, Meningeal HIV Infections Magnetic Resonance Imaging Vietnam Humans Neural Networks, Computer Brain Prognosis
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Breast cancer pathology image recognition based on convolutional neural network.

PloS one Jan 1, 2025
This study presents a convolutional neural network (CNN)-based method for the classification and recognition of breast cancer pathology images. It aims to solve the problems existing in traditional pathological tissue analysis methods, such as time-c...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Female Breast Neoplasms Convolutional Neural Networks Neural Networks, Computer Algorithms Humans
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