Comparative Analysis of Different Texture Features in Breast Abnormality Prediction

2021 ◽  
Author(s):  
Ritam Sharma ◽  
Janki Ballabh Sharma ◽  
Ranjan Maheshwari
Keyword(s):  
Comparative Analysis ◽  
Texture Features ◽  
Breast Abnormality

A Comparative analysis of stroke diagnosis from retinal images using hand-crafted features and CNN

2021 ◽  
pp. 1-9
Author(s):  
R. S Jeena ◽  
G. Shiny ◽  
A. Sukesh Kumar ◽  
K. Mahadevan
Keyword(s):  
Neural Network ◽  
Comparative Analysis ◽  
Early Detection ◽  
Comparative Study ◽  
Texture Features ◽  
Detection Algorithm ◽  
Developing Nations ◽  
Retinal Images ◽  
Fundus Images ◽  
Stroke Diagnosis

Stroke is a major reason for disability and mortality in most of the developing nations. Early detection of stroke is highly significant in bio-medical research. Research illustrates that signs of stroke are reflected in the eye and may be analyzed from fundus images. A custom dataset of fundus images has been compiled for formulating an automated stroke detection algorithm. In this paper, a comparative study of hand-crafted texture features and convolutional neural network (CNN) has been recommended for stroke diagnosis. The custom CNN model has also been compared with five pre-trained models from ImageNet. Experimental results reveal that the recommended custom CNN model gives the best performance by achieving an accuracy of 95.8 %.

scholarly journals A Comparative Analysis of Kernel-Based Target Tracking Methods using Different Colour Feature Based Target Models

2012 ◽  
pp. 106-111
Author(s):  
Nirja Magoch Thakur ◽  
MM Kuber
Keyword(s):  
Comparative Analysis ◽  
Target Tracking ◽  
Tracking System ◽  
Texture Features ◽  
Feature Space ◽  
Color Feature ◽  
Feature Based ◽  
Real Time Tracking ◽  
Colour Feature ◽  
Effective Use

An effective target modeling is the root of a robust and efficient tracking system. Color feature is widely used feature space for target modeling in real time tracking applications because of its computational efficiency and invariance towards change in shape, scale and rotation. The effective use of this feature with kernel-based target tracking can lead to a robust tracking system. This paper provides a comparative analysis of the performance of three variants of kernel-based tracking system using color feature. The simulation results show that the target modeling using transformed background weighted target model will perform efficiently when initialized target has similar color feature with background while the combination of color-texture will be more accurate and robust when texture features are prominently present.

1207: Failed Pyeloplasty in Children: Comparative Analysis of Retrograde Endopyelotomy VS. Re-do Pyeloplasty

2007 ◽  
Vol 177 (4S) ◽  
pp. 398-398
Author(s):  
Luis H. Braga ◽  
Joao L. Pippi Salle ◽  
Sumit Dave ◽  
Sean Skeldon ◽  
Armando J. Lorenzo ◽  
...  
Keyword(s):  
Comparative Analysis
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