AIMC Topic: Deep Learning

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MiRS-HF: A Novel Deep Learning Predictor for Cancer Classification and miRNA Expression Patterns.

IEEE journal of biomedical and health informatics Jan 7, 2025
Cancer classification and biomarker identification are crucial for guiding personalized treatment. To make effective use of miRNA associations and expression data, we have developed a deep learning model for cancer classification and biomarker identi...
Deep Learning Biomarkers, Tumor Computational Biology Neoplasms Humans Gene Expression Profiling Algorithms MicroRNAs
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TBE-Net: A Deep Network Based on Tree-Like Branch Encoder for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 7, 2025
In recent years, encoder-decoder-based network structures have been widely used in designing medical image segmentation models. However, these methods still face some limitations: 1) The network's feature extraction capability is limited, primarily d...
Humans Image Processing, Computer-Assisted COVID-19 Deep Learning Neural Networks, Computer Algorithms
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Spherical Harmonics-Based Deep Learning Achieves Generalized and Accurate Diffusion Tensor Imaging.

IEEE journal of biomedical and health informatics Jan 7, 2025
Diffusion tensor imaging (DTI) is a prevalent magnetic resonance imaging (MRI) technique, widely used in clinical and neuroscience research. However, the reliability of DTI is affected by the low signal-to-noise ratio inherent in diffusion-weighted (...
Humans Image Processing, Computer-Assisted Diffusion Tensor Imaging Brain Deep Learning
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Step Width Estimation in Individuals With and Without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors.

IEEE journal of biomedical and health informatics Jan 7, 2025
Step width is vital for gait stability, postural balance control, and fall risk reduction. However, estimating step width typically requires either fixed cameras or a full kinematic body suit of wearable inertial measurement units (IMUs), both of whi...
Male Middle Aged Wearable Electronic Devices Postural Balance Deep Learning Humans Young Adult Adult Biomechanical Phenomena Female Aged Walking Gait Accelerometry Signal Processing, Computer-Assisted Neurodegenerative Diseases
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Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading.

IEEE journal of biomedical and health informatics Jan 7, 2025
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to automatically grade DR via retinal fundus images (RFIs). However, RFIs a...
Image Interpretation, Computer-Assisted Diabetic Retinopathy Neural Networks, Computer Humans Fundus Oculi Retina Deep Learning
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Fuzzy Synchronization Likelihood Graph in Deep Neural Networks for Human Motion Time Series Analysis.

IEEE journal of biomedical and health informatics Jan 7, 2025
Variable interactivity is crucial in biological multivariate time series analysis. This research suggests using graph structures to represent such interactions for more explainable decision-making processes. However, measuring the variable interactio...
Fuzzy Logic Time and Motion Studies Neural Networks, Computer Biomechanical Phenomena Deep Learning Humans
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Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin cancer. Although the diagnosis of early melanoma is the main goal of dermoscopy, the discrimination between dermoscopic images of in s...
Dermoscopy Deep Learning Convolutional Neural Networks Melanoma Skin Neoplasms Supervised Machine Learning Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Humans
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FDDSeg: Unleashing the Power of Scribble Annotation for Cardiac MRI Images Through Feature Decomposition Distillation.

IEEE journal of biomedical and health informatics Jan 7, 2025
Cardiovascular diseases can be diagnosed with computer assistance when using the magnetic resonance imaging (MRI) image that is produced by the MRI sensor. Deep learning-based scribbling MRI image segmentation has demonstrated impressive results rece...
Humans Algorithms Databases, Factual Heart Deep Learning Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Blood pressure (BP) is predicted by this effort based on photoplethysmography (PPG) data to provide effective pre-warning of possible preeclampsia of pregnant women. Towards frequent BP measurement, a PPG sensor device is utilized in this study as a ...
Blood Pressure Signal Processing, Computer-Assisted Photoplethysmography Pregnancy Blood Pressure Determination Female Adult Deep Learning Young Adult Humans
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Deep Drug Synergy Prediction Network Using Modified Triangular Mutation-Based Differential Evolution.

IEEE journal of biomedical and health informatics Jan 7, 2025
Drug combination therapy is crucial in cancer treatment, but accurately predicting drug synergy remains a challenge due to the complexity of drug combinations. Machine learning and deep learning models have shown promise in drug combination predictio...
Humans Computational Biology Mutation Drug Synergism Neoplasms Deep Learning Algorithms
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