Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps
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Published By Springer International Publishing

9783319659800, 9783319659817

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Computer Aided Diagnosis in Ophthalmology: Deep Learning Applications

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_10 ◽

2017 ◽

pp. 263-293 ◽

Cited By ~ 1

Author(s):

José N. Galveia ◽

António Travassos ◽

Francisca A. Quadros ◽

Luís A. da Silva Cruz

Keyword(s):

Deep Learning ◽

Computer Aided Diagnosis ◽

Computer Aided ◽

Aided Diagnosis

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Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density Patterns Using Various Classifiers

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_5 ◽

2017 ◽

pp. 105-131 ◽

Cited By ~ 1

Author(s):

Kriti ◽

Jitendra Virmani ◽

Ravinder Agarwal

Keyword(s):

Breast Density ◽

Gabor Features

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On the Fly Segmentation of Intravascular Ultrasound Images Powered by Learning of Backscattering Physics

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_13 ◽

2017 ◽

pp. 351-380 ◽

Cited By ~ 1

Author(s):

Debarghya China ◽

Pabitra Mitra ◽

Debdoot Sheet

Keyword(s):

Intravascular Ultrasound ◽

Ultrasound Images

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Advanced Computational Intelligence Techniques Based Computer Aided Diagnosis System for Cervical Cancer Detection Using Pap Smear Images

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_11 ◽

2017 ◽

pp. 295-322

Author(s):

D. Selvathi ◽

W. Rehan Sharmila ◽

P. Shenbaga Sankari

Keyword(s):

Cervical Cancer ◽

Cancer Detection ◽

Computational Intelligence ◽

Pap Smear ◽

Computer Aided Diagnosis ◽

Diagnosis System ◽

Computer Aided ◽

Aided Diagnosis

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A Bio-application for Accident Victim Identification Using Biometrics

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_15 ◽

2017 ◽

pp. 407-447 ◽

Cited By ~ 2

Author(s):

P. Vidyasree ◽

Gudavalli Madhavi ◽

S. Viswanadharaju ◽

Surekha Borra

Keyword(s):

Victim Identification ◽

Accident Victim

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Machine Learning-Based State-of-the-Art Methods for the Classification of RNA-Seq Data

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_6 ◽

2017 ◽

pp. 133-172 ◽

Cited By ~ 7

Author(s):

Almas Jabeen ◽

Nadeem Ahmad ◽

Khalid Raza

Keyword(s):

Machine Learning ◽

State Of The Art ◽

Rna Seq ◽

Art Methods

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A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_2 ◽

2017 ◽

pp. 33-56

Author(s):

Ayşe Elif Canbilen ◽

Murat Ceylan

Keyword(s):

Mr Images ◽

Novel Approach

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ECG Signal Dimensionality Reduction-Based Atrial Fibrillation Detection

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_14 ◽

2017 ◽

pp. 383-406 ◽

Cited By ~ 2

Author(s):

Ambika Annavarapu ◽

Surekha Borra ◽

Padmavathi Kora

Keyword(s):

Atrial Fibrillation ◽

Dimensionality Reduction ◽

Ecg Signal ◽

Atrial Fibrillation Detection

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Two-Step Verifications for Multi-instance Features Selection: A Machine Learning Approach

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_7 ◽

2017 ◽

pp. 173-198

Author(s):

M. N. Y. Ali ◽

S. F. Nimmy

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Features Selection ◽

Machine Learning Approach

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Classification and Decision Making of Medical Infrared Thermal Images

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps ◽

10.1007/978-3-319-65981-7_4 ◽

2017 ◽

pp. 79-104 ◽

Cited By ~ 5

Author(s):

Ricardo Vardasca ◽

Lucia Vaz ◽

Joaquim Mendes

Keyword(s):

Decision Making ◽

Thermal Images ◽

Infrared Thermal Images

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Lecture Notes in Computational Vision and Biomechanics - Classification in BioAppsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Computer Aided Diagnosis in Ophthalmology: Deep Learning Applications

Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density Patterns Using Various Classifiers

On the Fly Segmentation of Intravascular Ultrasound Images Powered by Learning of Backscattering Physics

Advanced Computational Intelligence Techniques Based Computer Aided Diagnosis System for Cervical Cancer Detection Using Pap Smear Images

A Bio-application for Accident Victim Identification Using Biometrics

Machine Learning-Based State-of-the-Art Methods for the Classification of RNA-Seq Data

A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms

ECG Signal Dimensionality Reduction-Based Atrial Fibrillation Detection

Two-Step Verifications for Multi-instance Features Selection: A Machine Learning Approach

Classification and Decision Making of Medical Infrared Thermal Images

Lecture Notes in Computational Vision and Biomechanics - Classification in BioApps
Latest Publications