AIMC Topic: Algorithms

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A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models.

IEEE journal of biomedical and health informatics Sep 5, 2024
Determining lymphoma subtypes is a crucial step for better patient treatment targeting to potentially increase their survival chances. In this context, the existing gold standard diagnosis method, which relies on gene expression technology, is highly...
Lymphoma Lymphoma, Large B-Cell, Diffuse Image Interpretation, Computer-Assisted Humans Algorithms Deep Learning
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A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation.

IEEE journal of biomedical and health informatics Sep 5, 2024
Recent methods often introduce attention mechanisms into the skip connections of U-shaped networks to capture features. However, these methods usually overlook spatial information extraction in skip connections and exhibit inefficiency in capturing s...
Image Processing, Computer-Assisted Algorithms Humans Image Interpretation, Computer-Assisted Deep Learning
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DIPO: Differentiable Parallel Operation Blocks for Surgical Neural Architecture Search.

IEEE journal of biomedical and health informatics Sep 5, 2024
Deep learning has been used across a large number of computer vision tasks, however designing the network architectures for each task is time consuming. Neural Architecture Search (NAS) promises to automatically build neural networks, optimised for t...
Humans Image Processing, Computer-Assisted Surgery, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning
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Combining Multistaged Filters and Modified Segmentation Network for Improving Lung Nodules Classification.

IEEE journal of biomedical and health informatics Sep 5, 2024
Advancements in computational technology have led to a shift towards automated detection processes in lung cancer screening, particularly through nodule segmentation techniques. These techniques employ thresholding to distinguish between soft and fir...
Lung Neoplasms Solitary Pulmonary Nodule Humans Tomography, X-Ray Computed Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Lung Algorithms
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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 Signal Processing, Computer-Assisted Deep Learning Atrial Fibrillation Electrocardiography
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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...
Magnetic Resonance Imaging Uncertainty Humans Algorithms Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed
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PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging.

IEEE journal of biomedical and health informatics Sep 5, 2024
Sleep staging plays a critical role in evaluating the quality of sleep. Currently, most studies are either suffering from dramatic performance drops when coping with varying input modalities or unable to handle heterogeneous signals. To handle hetero...
Signal Processing, Computer-Assisted Electrooculography Middle Aged Electroencephalography Sleep Stages Algorithms Female Adult Male Young Adult Humans Neural Networks, Computer
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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...
Neural Networks, Computer Algorithms Deep Learning Humans Signal Processing, Computer-Assisted Depression Heuristics Electroencephalography
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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...
Image Interpretation, Computer-Assisted Humans Retinal Vessels Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Neural Networks Based Smart E-Health Application for the Prediction of Tuberculosis Using Serverless Computing.

IEEE journal of biomedical and health informatics Sep 5, 2024
The convergence of the Internet of Things (IoT) with e-health records is creating a new era of advancements in the diagnosis and treatment of disease, which is reshaping the modern landscape of healthcare. In this paper, we propose a neural networks-...
Humans Tuberculosis Neural Networks, Computer Telemedicine Internet of Things Machine Learning Algorithms
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