There are many machine learning algorithms proposed for multi-category classification problems in the cancer diagnosis area. Moreover, there are different reasons for using these algorithms such as the ability of machine learning to detect main features from complex data sets, which represents techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. However, the traditional machine learning algorithms are facing several limitations, which may be impacted on the accuracy of classification based cancer diagnosis area. In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer resear...
| openaire: EC/H2020/101016775/EU//INTERVENEAnalysis of malignant and non-malignant brain tumors is ...
It is an extremely cumbersome process to predict a disease based on the visual diagnosis of cell typ...
AbstractCancer has been characterized as a heterogeneous disease consisting of many different subtyp...
Abstract The domain of Machine learning has experienced Substantial advancement and development. Rec...
Cancer has been described as a diverse illness with several distinct subtypes that may occur simulta...
Cancer is a fatal disease induced by the occurrence of a count of inherited issues and also a count ...
Breast cancer is one on the most well-known kind of malignant growth influencing ladies from all aro...
With an estimated 1.4 million cancer diagnosis worldwide and the increasing death of cancer patients...
Health is so important for human beings. Thanks to the technological developments both in medicine a...
Abstract— Cancer is a terminal condition, often caused by the aggregation of genetic defects and sev...
Cancer is the leading disease in the world by the increasing number of new patients and deaths every...
Cancer, which has many different types such as breast, pleural, and leukemia, is one of the common h...
Cancer misdiagnosis is extremely common. We attempt to build different machine learning models that ...
Cancer is a dreadful disease. Millions of people died every year because of this disease. Neural net...
Breast cancer is a prevalent form of cancer that affects a significant number of individuals worldwi...
| openaire: EC/H2020/101016775/EU//INTERVENEAnalysis of malignant and non-malignant brain tumors is ...
It is an extremely cumbersome process to predict a disease based on the visual diagnosis of cell typ...
AbstractCancer has been characterized as a heterogeneous disease consisting of many different subtyp...
Abstract The domain of Machine learning has experienced Substantial advancement and development. Rec...
Cancer has been described as a diverse illness with several distinct subtypes that may occur simulta...
Cancer is a fatal disease induced by the occurrence of a count of inherited issues and also a count ...
Breast cancer is one on the most well-known kind of malignant growth influencing ladies from all aro...
With an estimated 1.4 million cancer diagnosis worldwide and the increasing death of cancer patients...
Health is so important for human beings. Thanks to the technological developments both in medicine a...
Abstract— Cancer is a terminal condition, often caused by the aggregation of genetic defects and sev...
Cancer is the leading disease in the world by the increasing number of new patients and deaths every...
Cancer, which has many different types such as breast, pleural, and leukemia, is one of the common h...
Cancer misdiagnosis is extremely common. We attempt to build different machine learning models that ...
Cancer is a dreadful disease. Millions of people died every year because of this disease. Neural net...
Breast cancer is a prevalent form of cancer that affects a significant number of individuals worldwi...
| openaire: EC/H2020/101016775/EU//INTERVENEAnalysis of malignant and non-malignant brain tumors is ...
It is an extremely cumbersome process to predict a disease based on the visual diagnosis of cell typ...
AbstractCancer has been characterized as a heterogeneous disease consisting of many different subtyp...