AIMC Topic: Deep Learning

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RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG.

IEEE journal of biomedical and health informatics Sep 5, 2024
INTRODUCTION: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term ambulatory ECG recordings have shown high performance. However, the rhythm-based approach does not take advantage of the morph...
Humans Algorithms Atrial Fibrillation Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.

IEEE journal of biomedical and health informatics Sep 5, 2024
Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems including image reconstruction. However, these trained models encounter uns...
Tomography, X-Ray Computed Humans Deep Learning Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Uncertainty
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EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals.

IEEE journal of biomedical and health informatics Sep 5, 2024
World Health Organization (WHO) has identified depression as a significant contributor to global disability, creating a complex thread in both public and private health. Electroencephalogram (EEG) can accurately reveal the working condition of the hu...
Electroencephalography Humans Signal Processing, Computer-Assisted Algorithms Neural Networks, Computer Deep Learning Heuristics Depression
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Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder.

IEEE journal of biomedical and health informatics Sep 5, 2024
This paper introduces an effective and efficient framework for retinal vessel segmentation. First, we design a Transformer-CNN hybrid model in which a Transformer module is inserted inside the U-Net to capture long-range interactions. Second, we desi...
Deep Learning Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Retinal Vessels Algorithms
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ABR-Attention: An Attention-Based Model for Precisely Localizing Auditory Brainstem Response.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 5, 2024
Auditory Brainstem Response (ABR) is an evoked potential in the brainstem's neural centers in response to sound stimuli. Clinically, characteristic waves, especially Wave V latency, extracted from ABR can objectively indicate auditory loss and diagno...
Adult Acoustic Stimulation Male Evoked Potentials, Auditory, Brain Stem Humans Female Deep Learning Electroencephalography Neural Networks, Computer Reproducibility of Results Reaction Time Algorithms Young Adult Attention
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Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies.

Journal of imaging informatics in medicine Sep 4, 2024
In recent years, X-ray low-dose computed tomography (LDCT) has garnered widespread attention due to its significant reduction in the risk of patient radiation exposure. However, LDCT images often contain a substantial amount of noises, adversely affe...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Unsupervised Machine Learning Signal-To-Noise Ratio Supervised Machine Learning Radiation Dosage
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Feature-Based vs. Deep-Learning Fusion Methods for the In Vivo Detection of Radiation Dermatitis Using Optical Coherence Tomography, a Feasibility Study.

Journal of imaging informatics in medicine Sep 4, 2024
Acute radiation dermatitis (ARD) is a common and distressing issue for cancer patients undergoing radiation therapy, leading to significant morbidity. Despite available treatments, ARD remains a distressing issue, necessitating further research to im...
Image Interpretation, Computer-Assisted Radiodermatitis Humans Deep Learning Female Adult Tomography, Optical Coherence Aged Male Feasibility Studies Middle Aged
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Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.

European radiology Sep 4, 2024
OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an artificial intelligence (AI)-assisted system by using quantitative computed tomography (QCT) as a reference without additional radiation exposure or ...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Male Middle Aged Deep Learning Aged, 80 and over Adult Sensitivity and Specificity Humans Artificial Intelligence Female Bone Density Osteoporosis Aged Tomography, X-Ray Computed
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The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.

Medical ultrasonography Sep 4, 2024
AIMS: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences....
Deep Learning Clinical Competence Thyroid Gland Sensitivity and Specificity Male Middle Aged Diagnosis, Differential Image Interpretation, Computer-Assisted Thyroid Neoplasms Ultrasonography Thyroid Nodule Humans Female Reproducibility of Results Adult
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Brain tumor detection and segmentation using deep learning.

Magma (New York, N.Y.) Sep 4, 2024
OBJECTIVES: Brain tumor detection, classification and segmentation are challenging due to the heterogeneous nature of brain tumors. Different deep learning-based algorithms are available for object detection; however, the performance of detection alg...
Humans Databases, Factual Brain Neural Networks, Computer Algorithms Glioma Brain Neoplasms Magnetic Resonance Imaging Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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