AIMC Topic: Deep Learning

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Deep learning-based, fully automated, pediatric brain segmentation.

Scientific reports Feb 22, 2024
The purpose of this study was to demonstrate the performance of a fully automated, deep learning-based brain segmentation (DLS) method in healthy controls and in patients with neurodevelopmental disorders, SCN1A mutation, under eleven. The whole, cor...
Hippocampus Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Deep Learning Humans Software
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Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.

PloS one Feb 22, 2024
PURPOSE: To prospectively evaluate whether Lung-RADS classification and volumetric nodule assessment were feasible with ultralow-dose (ULD) chest CT scans with deep learning image reconstruction (DLIR).
Radiation Dosage Humans Tomography, X-Ray Computed Prospective Studies Female Middle Aged Image Processing, Computer-Assisted Aged Lung Lung Neoplasms Deep Learning Radiographic Image Interpretation, Computer-Assisted
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A Novel Data Augmentation Approach Using Mask Encoding for Deep Learning-Based Asynchronous SSVEP-BCI.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 22, 2024
Deep learning (DL)-based methods have been successfully employed as asynchronous classification algorithms in the steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. However, these methods often suffer from the l...
Neural Networks, Computer Algorithms Deep Learning Humans Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual
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Predicting circRNA-RBP Binding Sites Using a Hybrid Deep Neural Network.

Interdisciplinary sciences, computational life sciences Feb 21, 2024
Circular RNAs (circRNAs) are non-coding RNAs generated by reverse splicing. They are involved in biological process and human diseases by interacting with specific RNA-binding proteins (RBPs). Due to traditional biological experiments being costly, c...
Computational Biology RNA-Binding Proteins Binding Sites Humans Neural Networks, Computer Deep Learning RNA, Circular
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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

Journal of imaging informatics in medicine Feb 21, 2024
Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and p...
Humans Glioma Neural Networks, Computer Magnetic Resonance Imaging Female Radiologists Male Adult Image Interpretation, Computer-Assisted Middle Aged Brain Neoplasms Deep Learning
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Automatic Tracking of Hyoid Bone Displacement and Rotation Relative to Cervical Vertebrae in Videofluoroscopic Swallow Studies Using Deep Learning.

Journal of imaging informatics in medicine Feb 21, 2024
The hyoid bone displacement and rotation are critical kinematic events of the swallowing process in the assessment of videofluoroscopic swallow studies (VFSS). However, the quantitative analysis of such events requires frame-by-frame manual annotatio...
Humans Computer Simulation Datasets as Topic Hyoid Bone Deep Learning Automation Fluoroscopy Image Processing, Computer-Assisted Deglutition Rotation Cervical Vertebrae Video Recording
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DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification.

Journal of imaging informatics in medicine Feb 21, 2024
Worldwide, the COVID-19 epidemic, which started in 2019, has resulted in millions of deaths. The medical research community has widely used computer analysis of medical data during the pandemic, specifically deep learning models. Deploying models on ...
Deep Learning Data Compression Humans Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography.

Journal of imaging informatics in medicine Feb 21, 2024
Recent advances in contrastive learning have significantly improved the performance of deep learning models. In contrastive learning of medical images, dealing with positive representation is sometimes difficult because some strong augmentation techn...
Neural Networks, Computer Deep Learning Radiography, Thoracic Humans
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Segmentation of liver and liver lesions using deep learning.

Physical and engineering sciences in medicine Feb 21, 2024
Segmentation of organs and lesions could be employed for the express purpose of dosimetry in nuclear medicine, assisted image interpretations, and mass image processing studies. Deep leaning created liver and liver lesion segmentation on clinical 3D ...
Deep Learning Liver Neoplasms Imaging, Three-Dimensional Female Image Processing, Computer-Assisted Humans Male Magnetic Resonance Imaging Middle Aged Liver
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Deep learning-based workflow for automatic extraction of atria and epicardial adipose tissue on cardiac computed tomography in atrial fibrillation.

Journal of the Chinese Medical Association : JCMA Feb 21, 2024
BACKGROUND: Preoperative estimation of the volume of the left atrium (LA) and epicardial adipose tissue (EAT) on computed tomography (CT) images is associated with an increased risk of atrial fibrillation (AF) recurrence. We aimed to design a deep le...
Aged Male Middle Aged Humans Tomography, X-Ray Computed Female Heart Atria Pericardium Epicardial Adipose Tissue Deep Learning Workflow Atrial Fibrillation
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