International audienceThe main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors
Breast cancer is a health problem in the world. To overcome this problem requires early detection of...
Machine Learning is a branch of Computer Science that is concerned with designing systems that can l...
Abstract The domain of Machine learning has experienced Substantial advancement and development. Rec...
Copyright © 2003 ACPSEM. All rights reserved. The document attached has been archived with permissio...
Any disease can be treated only once it is imaged, detected and classified. This paper proposes a se...
Breast cancer is one on the most well-known kind of malignant growth influencing ladies from all aro...
Classification is widely used to determine decisions according to new knowledge gained from processi...
Cancer is a fatal disease induced by the occurrence of a count of inherited issues and also a count ...
In this paper we investigate the feasibility of some typical techniques of pattern recognition for t...
In this paper we investigate the feasibility of some typical techniques of pattern recognition for t...
The use of digital image processing has become very demanding in various areas including medical app...
An accurate and efficient computer-aided mammography diagnosis system plays an important role as a s...
Detecting breast cancer in early stage is not straightforward. This happens because biopsy test requ...
Breast cancer is a considerable problem among the women and causes death around the world. This dise...
Abstract The nearest neighbour (NN) classification rule is usuallychosen in a large number of patter...
Breast cancer is a health problem in the world. To overcome this problem requires early detection of...
Machine Learning is a branch of Computer Science that is concerned with designing systems that can l...
Abstract The domain of Machine learning has experienced Substantial advancement and development. Rec...
Copyright © 2003 ACPSEM. All rights reserved. The document attached has been archived with permissio...
Any disease can be treated only once it is imaged, detected and classified. This paper proposes a se...
Breast cancer is one on the most well-known kind of malignant growth influencing ladies from all aro...
Classification is widely used to determine decisions according to new knowledge gained from processi...
Cancer is a fatal disease induced by the occurrence of a count of inherited issues and also a count ...
In this paper we investigate the feasibility of some typical techniques of pattern recognition for t...
In this paper we investigate the feasibility of some typical techniques of pattern recognition for t...
The use of digital image processing has become very demanding in various areas including medical app...
An accurate and efficient computer-aided mammography diagnosis system plays an important role as a s...
Detecting breast cancer in early stage is not straightforward. This happens because biopsy test requ...
Breast cancer is a considerable problem among the women and causes death around the world. This dise...
Abstract The nearest neighbour (NN) classification rule is usuallychosen in a large number of patter...
Breast cancer is a health problem in the world. To overcome this problem requires early detection of...
Machine Learning is a branch of Computer Science that is concerned with designing systems that can l...
Abstract The domain of Machine learning has experienced Substantial advancement and development. Rec...