Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Medical Informatics and Bioimaging Using Artificial Intelligence: Challenges, Issues, Innovations and Recent Developments

Medical Informatics and Bioimaging Using Artificial Intelligence: Challenges, Issues, Innovations and Recent Developments

Hassanien, Aboul Ella
Bhatnagar, Roheet
Snásel, Václav

Paperback

Series: Studies in Computational Intelligence, Book 1005

Medical ReferenceTechnology & Engineering

ISBN10: 3030911055
ISBN13: 9783030911058
Publisher: Springer
Published: Dec 17 2022
Pages: 258
Weight: 0.84
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
Optimized Deep Learning Using Cockroach Swarm Optimization for Segmenting Brain MRI Scans.- Efficient Classification Model for Melanoma Based on Convolutional Neural Networks.- Machine Learning-supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia.- Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification.- A Comprehensive Review on Brain Disease Mapping - the Underlying Technologies and AI based Techniques for Feature Extraction & Classification using EEG signals.- Recognition of Ocular Disease Based Optimized VGG-Net Models.- Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life.- COVID-19 forecasting based on an improved interior search algorithm and multilayer feed-forward neural network.- Development of Disease Diagnosis Model for CXR Images and Reports - A Deep Learning Approach.- Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing.- Analysis of Aortic Valve Using a Finite Element Model.- Fundus images Enhancement using Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection.- Multivariate Fuzzy Logic based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients.- Ensemble machine learning model for mortality prediction inside ICU

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