AIMC Topic: Deep Learning

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An Automated Framework for Histopathological Nucleus Segmentation With Deep Attention Integrated Networks.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Clinical management and accurate disease diagnosis are evolving from qualitative stage to the quantitative stage, particularly at the cellular level. However, the manual process of histopathological analysis is lab-intensive and time-consuming. Meanw...
Cell Nucleus Deep Learning Humans Image Interpretation, Computer-Assisted Histocytochemistry Algorithms
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A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Echocardiography is an essential procedure for the prenatal examination of the fetus for congenital heart disease (CHD). Accurate segmentation of key anatomical structures in a four-chamber view is an essential step in measuring fetal growth paramete...
Echocardiography Ultrasonography, Prenatal Deep Learning Pregnancy Fetal Heart Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Female Heart Defects, Congenital Algorithms
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A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Alzheimer's is progressive and irreversible type of dementia, which causes degeneration and death of cells and their connections in the brain. AD worsens over time and greatly impacts patients' life and affects their important mental functions, inclu...
Image Interpretation, Computer-Assisted Neuroimaging Deep Learning Magnetic Resonance Imaging Alzheimer Disease Humans Algorithms Brain Aged
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Graph Embedded Ensemble Deep Randomized Network for Diagnosis of Alzheimer's Disease.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist in the back propagation (BP) based trained neural networks. Ensemble deep random vector functional link (edRVFL) network utilize the strength of two g...
Neural Networks, Computer Algorithms Deep Learning Humans Databases, Factual Computational Biology Diagnosis, Computer-Assisted Alzheimer Disease
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Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Drug target interaction prediction is a crucial stage in drug discovery. However, brute-force search over a compound database is financially infeasible. We have witnessed the increasing measured drug-target interactions records in recent years, and t...
Pharmaceutical Preparations Computational Biology Proteins Humans Neural Networks, Computer Algorithms Drug Discovery Deep Learning
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A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI).

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Pneumonia mainly refers to lung infections caused by pathogens, such as bacteria and viruses. Currently, deep learning methods have been applied to identify pneumonia. However, the traditional deep learning methods for pneumonia identification take l...
Algorithms Lung Pneumonia Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans
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Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Computer-aided diagnosis (CAD) has always been an important research topic for applying artificial intelligence in smart healthcare. Sufficient medical data are one of the most critical factors in CAD research. However, medical data are usually obtai...
Databases, Factual Diagnosis, Computer-Assisted Deep Learning Humans Algorithms
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Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep learning (DL) is expected to be the most powerful method for efficient detection of COVID-19. However, patients' privacy concerns prohibit data shari...
COVID-19 Algorithms SARS-CoV-2 Humans Neural Networks, Computer Computational Biology Radiography, Thoracic Lung Deep Learning
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Ensemble Deep Random Vector Functional Link Network Using Privileged Information for Alzheimer's Disease Diagnosis.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Alzheimer's disease (AD) is a progressive brain disorder. Machine learning models have been proposed for the diagnosis of AD at early stage. Recently, deep learning architectures have received quite a lot attention. Most of the deep learning architec...
Neural Networks, Computer Algorithms Alzheimer Disease Deep Learning Computational Biology Humans Diagnosis, Computer-Assisted
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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network.

Journal of advanced research Aug 7, 2024
INTRODUCTION: Immune checkpoint inhibitors (ICIs) are potent and precise therapies for various cancer types, significantly improving survival rates in patients who respond positively to them. However, only a minority of patients benefit from ICI trea...
Neural Networks, Computer Tumor Microenvironment Neoplasms Humans Deep Learning Immunotherapy Treatment Outcome Immune Checkpoint Inhibitors Graph Neural Networks
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