AIMC Topic: Neural Networks, Computer

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Systematic application of saliency maps to explain the decisions of convolutional neural networks for glaucoma diagnosis based on disc and cup geometry.

Biomedical physics & engineering express Jan 21, 2025
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodo...
Optic Disk Fundus Oculi Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Glaucoma Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted
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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network.

Electromagnetic biology and medicine Jan 21, 2025
Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. Malignant tumours can develop quickly, pass through neighboring tissues, and extend to further brain regions or the central ne...
Neural Networks, Computer Algorithms Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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General structure-activity relationship models for the inhibitors of Adenosine receptors: A machine learning approach.

Molecular diversity Jan 20, 2025
Adenosine receptors (A, A, A, A) play critical roles in cellular signaling and are implicated in various physiological and pathological processes, including inflammations and cancer. The main aim of this research was to investigate structure-activity...
Humans Neural Networks, Computer Models, Molecular Receptors, Purinergic P1 Purinergic P1 Receptor Antagonists Machine Learning Algorithms Structure-Activity Relationship
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A Machine Learning Model for Predicting the HER2 Positive Expression of Breast Cancer Based on Clinicopathological and Imaging Features.

Academic radiology Jan 20, 2025
RATIONALE AND OBJECTIVES: To develop a machine learning (ML) model based on clinicopathological and imaging features to predict the Human Epidermal Growth Factor Receptor 2 (HER2) positive expression (HER2-p) of breast cancer (BC), and to compare its...
Receptor, ErbB-2 Magnetic Resonance Imaging Mammography Predictive Value of Tests Retrospective Studies Female Aged Adult Breast Neoplasms Middle Aged Humans Neural Networks, Computer Machine Learning Prospective Studies
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Adaptive hybrid ANFIS-PSO and ANFIS-GA approach for occupational risk prediction.

International journal of occupational safety and ergonomics : JOSE Jan 20, 2025
This study attempted to optimize the adaptive neuro-fuzzy inference system (ANFIS) using particle swarm optimization (PSO) and a genetic algorithm (GA) for calculating occupational risk. Numerous studies have shown that the ANFIS is a good approach f...
Humans Neural Networks, Computer Logistic Models Support Vector Machine Fuzzy Logic Machine Learning Algorithms Risk Assessment Occupational Health
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Graph anomaly detection based on hybrid node representation learning.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2025
Anomaly detection on graph data has garnered significant interest from both the academia and industry. In recent years, fueled by the rapid development of Graph Neural Networks (GNNs), various GNNs-based anomaly detection methods have been proposed a...
Algorithms Humans Semantics Neural Networks, Computer
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C MAL: cascaded network-guided class-balanced multi-prototype auxiliary learning for source-free domain adaptive medical image segmentation.

Medical & biological engineering & computing Jan 20, 2025
Source-free domain adaptation (SFDA) has become crucial in medical image analysis, enabling the adaptation of source models across diverse datasets without labeled target domain images. Self-training, a popular SFDA approach, iteratively refines self...
Machine Learning Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography.

Medical image analysis Jan 20, 2025
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network desi...
Diffusion Tensor Imaging Male Child Image Interpretation, Computer-Assisted Humans Age Factors Female Deep Learning White Matter Neural Networks, Computer Sex Factors Young Adult Adolescent Adult
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Multiscale feature enhanced gating network for atrial fibrillation detection.

Computer methods and programs in biomedicine Jan 20, 2025
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a significant cause of life-threatening heart disease due to its potential to lead to stroke and heart failure. Although deep learning-assisted diagnosis of AF based on ECG holds significance in c...
Humans Neural Networks, Computer Electrocardiography Algorithms Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Deep Learning Atrial Fibrillation
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Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Ophthalmic genetics Jan 20, 2025
BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made...
Humans Female Diagnosis, Differential Infant Sensitivity and Specificity Neural Networks, Computer Child, Preschool Male Retinal Neoplasms Machine Learning Child Retinoblastoma
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