Classification in BioApps
Classification in BioApps
Automation of Decision Making
Ashour, Amira S.; Dey, Nilanjan; Borra, Surekha
Springer International Publishing AG
08/2018
447
Mole
Inglês
9783319881423
15 a 20 dias
948
Descrição não disponível.
Introduction to Medical Imaging and Objective Quality Assessment Techniques.- A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms.- ECG based Myocardial Infarction Detection using Hybrid Classification Techniques.- Machine Learning based Optical Plant Identification, Disease Detection and Disease Severity Assessment: State-of-the-Art .- Crop Disease Protection Using Parallel Machine Learning Approaches.- Deep Learning for Medical Image Processing: Overview, Challenges and Future.- On the Fly Segmentation of Intravascular Ultrasound Images Powered by Learning of Backscattering Physics.- ECG signal Dimensionality Reduction based Atrial Fibrillation Detection .- A Bio Application for Accident Victims' Identification using Biometrics.
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Bio-medical signal/image analysis;Decision support systems;Machine learning;Support vector machine;Feature extraction and Feature selection;Optimization algorithms
Introduction to Medical Imaging and Objective Quality Assessment Techniques.- A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms.- ECG based Myocardial Infarction Detection using Hybrid Classification Techniques.- Machine Learning based Optical Plant Identification, Disease Detection and Disease Severity Assessment: State-of-the-Art .- Crop Disease Protection Using Parallel Machine Learning Approaches.- Deep Learning for Medical Image Processing: Overview, Challenges and Future.- On the Fly Segmentation of Intravascular Ultrasound Images Powered by Learning of Backscattering Physics.- ECG signal Dimensionality Reduction based Atrial Fibrillation Detection .- A Bio Application for Accident Victims' Identification using Biometrics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.