This paper introduces new similarity classifiers using the Heronian mean, and the generalized Heronian mean operators. We examine the use of these operators at the aggregation step within the similarity classifier. The similarity classifier was earlier studied with other operators, in particular with an arithmetic mean, generalized mean, OWA operators, and many more. The two classifiers here ar...

Cancer has become a cause of concern in recent years. genomics is currently key research direction the fields genetic biology and biomedicine. This paper analyzes 5 different types cancer genes, such as breast, kidney, colon, lung prostate through machine learning methods, with goal building robust classification model to identify each type cancer, which will allow us early, thereby reducing mo...

    Drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. Identification of resistant phenotype is very important because it can lead to effective treatment plan. There is an interest in developing classifying models of resistance phenotype based on the multivariate data. We have investigated a vibrational spectroscopic approach in order to characterize a...

Breast cancer is observed as a dangerous disease type for women in the world. The clinical experts stated that early detection of helps saving lives. To detect stage, medical image processing an effective field. Medical Image with appropriate classification mechanism improves accuracy and resource minimal time. breast several machine learning techniques are evolved classification. However, thos...

Early diagnosis of breast cancer helps improve the patient's chance survival. Therefore, classification and feature selection are important research topics in medicine biology. Recently, adaptive elastic net was used effectively for feature-based classification, allowing simultaneous coefficient estimation. The basically employed estimates as initial weight. Nevertheless, estimator is inconsist...

In this research work, to understand the types of cancer cell and attempt to analyses the biopsy slides. In this method to identify cancer parts just using simple technique of isolation of insignificant portion of biopsy slide by cancer cell level and object level segmentation and classification. Many features used in the cancer cell detection and classification of biopsy image are inspired by ...

abstract objective: several studies have been published on the epidemiology of childhood malignancies worldwide. the primary objective of this study is to determine the relative frequency of pediatric cancers in iran. methods: using a retrospective approach, all confirmed cases of malignancies aged 14 years old or less at the time of first referral to the department of radiation oncology of jor...