AIMC Topic: Convolutional Neural Networks

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Facial expression analysis using convolutional neural network for drug-naive and chronic schizophrenia.

Journal of psychiatric research Nov 29, 2024
OBJECTIVE: Facial images have been shown to convey mental conditions as clinical symptoms. This study aimed to use facial images to detect patients with drug-naive schizophrenia (DN-SCZ) or chronic schizophrenia (C-SCZ) from healthy controls (HCs), a...
Male Facial Recognition Middle Aged Convolutional Neural Networks Chronic Disease Schizophrenia Facial Expression Female Humans Young Adult Neural Networks, Computer Adult
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Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT.

European journal of nuclear medicine and molecular imaging Nov 27, 2024
PURPOSE: Deep convolutional neural networks (CNN) hold promise for assisting the interpretation of dopamine transporter (DAT)-SPECT. For improved communication of uncertainty to the user it is crucial to reliably discriminate certain from inconclusiv...
Humans Neural Networks, Computer Tomography, Emission-Computed, Single-Photon Uncertainty Dopamine Plasma Membrane Transport Proteins Retrospective Studies Convolutional Neural Networks Image Processing, Computer-Assisted
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BEAS-Net: A Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2-D Echocardiography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Left ventricle (LV) segmentation of 2-D echocardiography images is an essential step in the analysis of cardiac morphology and function and-more generally-diagnosis of cardiovascular diseases (CVD). Several deep learning (DL) algorithms have recently...
Humans Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted Heart Ventricles Algorithms Echocardiography Deep Learning
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Binarized Simplicial Convolutional Neural Networks.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2024
Graph Neural Networks have the limitation of processing features solely on graph nodes, neglecting data on high-dimensional structures such as edges and triangles. Simplicial Convolutional Neural Networks (SCNN) represent high-order structures using ...
Convolutional Neural Networks Neural Networks, Computer Algorithms
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Convolutional neural network classification of ultrasound parametric images based on echo-envelope statistics for the quantitative diagnosis of liver steatosis.

Journal of medical ultrasonics (2001) Nov 23, 2024
PURPOSE: Early detection and quantitative evaluation of liver steatosis are crucial. Therefore, this study investigated a method for classifying ultrasound images to fatty liver grades based on echo-envelope statistics (ES) and convolutional neural n...
Convolutional Neural Networks Ultrasonography Fatty Liver Magnetic Resonance Imaging Liver Image Interpretation, Computer-Assisted Adult Male Middle Aged Humans Neural Networks, Computer Female
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EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data.

Interdisciplinary sciences, computational life sciences Nov 22, 2024
Gene Regulatory Networks (GRNs) reveal complex interactions between genes in organisms, crucial for understanding the life system's operation. The rapid development of biotechnology, especially single-cell RNA sequencing (scRNA-seq), has generated a ...
Gene Regulatory Networks Computational Biology Deep Learning Convolutional Neural Networks Single-Cell Analysis Humans Female Breast Neoplasms
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Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Surface electromyography (sEMG) can sense the motor commands transmitted to the muscles. This work presents a deep learning method that can decode the electrophysiological activity of the forearm muscles into the movements of the human han...
Movement Signal Processing, Computer-Assisted Hand Electromyography Adult Biomechanical Phenomena Male Neural Networks, Computer Humans Female Deep Learning Young Adult Convolutional Neural Networks Muscle, Skeletal
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HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation.

Network (Bristol, England) Nov 17, 2024
Estimating the optimal answer is expensive for huge data resources that decrease the functionality of the system. To solve these issues, the latest groundnut leaf disorder identification model by deep learning techniques is implemented. The images ar...
Deep Learning Arachis Convolutional Neural Networks Models, Biological Image Processing, Computer-Assisted Plant Diseases Plant Leaves
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An intelligent magnetic resonance imagining-based multistage Alzheimer's disease classification using swish-convolutional neural networks.

Medical & biological engineering & computing Nov 15, 2024
Alzheimer's disease (AD) refers to a neurological disorder that causes damage to brain cells and results in decreasing cognitive abilities and memory. In brain scans, this degeneration can be seen in different ways. The disease can be classified into...
Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Algorithms Brain Female Aged Male Convolutional Neural Networks Humans Neural Networks, Computer
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A lightweight deep-learning model for parasite egg detection in microscopy images.

Parasites & vectors Nov 6, 2024
BACKGROUND: Intestinal parasitic infections are still a serious public health problem in developing countries, and the diagnosis of parasitic infections requires the first step of parasite/egg detection of samples. Automated detection can eliminate t...
Humans Animals Feces Image Processing, Computer-Assisted Microscopy Diagnosis, Computer-Assisted Deep Learning Convolutional Neural Networks Parasite Egg Count Intestinal Diseases, Parasitic
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