3 research outputs found
An Accelerated System for Melanoma Diagnosis Based on Subset Feature Selection
In this paper we present an optimised system for
diagnosing skin lesions based on digitized dermatoscopic color images.
This system is composed mainly of three levels : lesion detection, lesion description (features
selection) and decision.
The preprocessing of the lesion image
is used to remove the undesired objects from the original image
and the extraction of the lesion is done by separating it from the healthy surrounding skin.
The classification scheme is based on the extraction of a set of features
modeling clinical signs of malignancy.
The produced vector of features scores is used as input to
a multi-layer perceptron classifier in order to assign the lesion
to the class of benign lesions or to the one of malignant melanomas.
We focus particularly in this paper on the critical step of
the features selection
allowing to select a reasonable
reduced number of useful features while removing
redundant information and approximating the properties of melanoma recognition.
This permits to reduce
the dimension of the lesion\u27s vector, and consequently the calculation time,
without a significant loss of information.
In fact, a large set of features was investigated
by the application of relevant features selection techniques.
Then, the number of features for
classification was optimized and only five well-selected features were used
to cover the discriminatory information about lesions malignancy.
With this approach, for reasonably balanced training/test sets, we record
a good classification rate of 77.7% in a very promising cpu time
PRZEGL膭D METOD SELEKCJI CECH U呕YWANYCH W DIAGNOSTYCE CZERNIAKA
Currently, a large number of trait selection methods are used. They are becoming more and more of interest among researchers. Some of the methods are of course used more frequently. The article describes the basics of selection-based algorithms. FS methods fall into three categories: filter wrappers, embedded methods. Particular attention was paid to finding examples of applications of the described methods in the diagnosisof skin melanoma.Obecnie stosuje si臋 wiele metod selekcji cech. Ciesz膮 si臋 coraz wi臋kszym zainteresowaniem badaczy. Oczywi艣cie niekt贸re metody s膮 stosowane cz臋艣ciej. W artykule zosta艂y opisane podstawy dzia艂ania algorytm贸w opartych na selekcji. Metody selekcji cech nale偶膮ce dziel膮 si臋 na trzy kategorie: metody filtrowe, metody opakowuj膮ce, metody wbudowane. Zwr贸cono szczeg贸lnie uwag臋 na znalezienie przyk艂ad贸w zastosowa艅 opisanych metod w diagnostyce czerniaka sk贸ry