Add to ORKGCurrently, Pap test is the most popular and effective test for cervical cancer. However, Pap test does not always produce good diagnostic performance. This problem has encouraged several studies to develop diagnosis system based on neural networks to increase the diagnostic performance
The presence of cervical cancer is not apparent as its incubation period is long. A pap smear scree...
BACKGROUND. Neural network technology has been used for the daily screening of cervical smears in Th...
World Health Organization statistics show that cervical cancer is the fourth most frequent cancer in...
Currently, Pap test is the most popular and effective test for cervical cancer. However, Pap test do...
The paper discusses the use of neural network to classify the types of cervical cells based on Bethe...
Large-scale screening programmes are operating to reduce the incidence and mortality rate of cervica...
AbstractCervical cancer has caused many deaths each year. Screening tests, such as Pap smear test us...
Neural networks have been used in the medical field in various applications such as medical imaging ...
A realistic approach for decreasing the number of erroneous diagnoses plaguing cervical cytology scr...
Cervical cancer is one of the most common types of cancer among women, which has higher death-rate t...
Cervical cancer, a common chronic disease, is one of the most prevalent and curable cancers among wo...
The primary objective of this research work is to develop an expert system for identification and cl...
In most previous studies, the analysis on the ability of neural networks to be used as a good cervic...
5.1 Introduction Cervical cancer is one of the most common cancers, accounting for 6% of all maligna...
To analyze the cytological errors made in the manual screening of cervical smears and to evaluate th...
The presence of cervical cancer is not apparent as its incubation period is long. A pap smear scree...
BACKGROUND. Neural network technology has been used for the daily screening of cervical smears in Th...
World Health Organization statistics show that cervical cancer is the fourth most frequent cancer in...
Currently, Pap test is the most popular and effective test for cervical cancer. However, Pap test do...
The paper discusses the use of neural network to classify the types of cervical cells based on Bethe...
Large-scale screening programmes are operating to reduce the incidence and mortality rate of cervica...
AbstractCervical cancer has caused many deaths each year. Screening tests, such as Pap smear test us...
Neural networks have been used in the medical field in various applications such as medical imaging ...
A realistic approach for decreasing the number of erroneous diagnoses plaguing cervical cytology scr...
Cervical cancer is one of the most common types of cancer among women, which has higher death-rate t...
Cervical cancer, a common chronic disease, is one of the most prevalent and curable cancers among wo...
The primary objective of this research work is to develop an expert system for identification and cl...
In most previous studies, the analysis on the ability of neural networks to be used as a good cervic...
5.1 Introduction Cervical cancer is one of the most common cancers, accounting for 6% of all maligna...
To analyze the cytological errors made in the manual screening of cervical smears and to evaluate th...
The presence of cervical cancer is not apparent as its incubation period is long. A pap smear scree...
BACKGROUND. Neural network technology has been used for the daily screening of cervical smears in Th...
World Health Organization statistics show that cervical cancer is the fourth most frequent cancer in...