Multi-scale morphological feature extraction for the classification of micro-calcifications

2018 ◽  
Author(s):  
Zobia akram ◽  
Erika R. Denton ◽  
Reyer Zwiggelaar
Keyword(s):  
Feature Extraction ◽  
Morphological Feature ◽  
Multi Scale

scholarly journals CLASSIFICATION OF AIRBORNE LASER SCANNING DATA USING GEOMETRIC MULTI-SCALE FEATURES AND DIFFERENT NEIGHBOURHOOD TYPES

2016 ◽  
Vol III-3 ◽  
pp. 169-176 ◽  
Author(s):  
R. Blomley ◽  
B. Jutzi ◽  
M. Weinmann
Keyword(s):  
Feature Extraction ◽  
Laser Scanning ◽  
Benchmark Dataset ◽  
Airborne Laser Scanning ◽  
Geometric Features ◽  
Multi Scale ◽  
Airborne Laser ◽  
Single Scale ◽  
Detailed Evaluation

In this paper, we address the classification of airborne laser scanning data. We present a novel methodology relying on the use of complementary types of geometric features extracted from multiple local neighbourhoods of different scale and type. To demonstrate the performance of our methodology, we present results of a detailed evaluation on a standard benchmark dataset and we show that the consideration of multi-scale, multi-type neighbourhoods as the basis for feature extraction leads to improved classification results in comparison to single-scale neighbourhoods as well as in comparison to multi-scale neighbourhoods of the same type.

Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction

2021 ◽  
Author(s):  
Alexander Hammer ◽  
Matthieu Scherpf ◽  
Hannes Ernst ◽  
Jonas Weiss ◽  
Daniel Schwensow ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Morphological Feature ◽  
Automatic Classification

Multi-scale feature extraction for learning-based classification of coronary artery stenosis

2009 ◽  
Author(s):  
Matthias Tessmann ◽  
Fernando Vega-Higuera ◽  
Dominik Fritz ◽  
Michael Scheuering ◽  
Günther Greiner
Keyword(s):  
Feature Extraction ◽  
Coronary Artery ◽  
Coronary Artery Stenosis ◽  
Artery Stenosis ◽  
Scale Feature ◽  
Multi Scale

scholarly journals CLASSIFICATION OF AIRBORNE LASER SCANNING DATA USING GEOMETRIC MULTI-SCALE FEATURES AND DIFFERENT NEIGHBOURHOOD TYPES

2016 ◽  
Vol III-3 ◽  
pp. 169-176
Author(s):  
R. Blomley ◽  
B. Jutzi ◽  
M. Weinmann
Keyword(s):  
Feature Extraction ◽  
Laser Scanning ◽  
Benchmark Dataset ◽  
Airborne Laser Scanning ◽  
Geometric Features ◽  
Multi Scale ◽  
Airborne Laser ◽  
Single Scale ◽  
Detailed Evaluation

In this paper, we address the classification of airborne laser scanning data. We present a novel methodology relying on the use of complementary types of geometric features extracted from multiple local neighbourhoods of different scale and type. To demonstrate the performance of our methodology, we present results of a detailed evaluation on a standard benchmark dataset and we show that the consideration of multi-scale, multi-type neighbourhoods as the basis for feature extraction leads to improved classification results in comparison to single-scale neighbourhoods as well as in comparison to multi-scale neighbourhoods of the same type.

Sign in / Sign up

Export Citation Format

Share Document