Abstract—This letter demonstrates the applicability of artificial neural networks (ANNs) to breast cancer detection. A simplified model of the breast containing a tumor was used to determine the scattering of electromagnetic waves in the microwave band. This data was used to train an ANN which was then tested on new data to predict the presence or absence of a tumor. Synthetic variation (noise) is added to the data to realistically model the breast. Index Terms—Artificial neural networks (ANNs), breast cancer detection, wave scattering. I
(1) Background: In this paper, an artificial neural network approach for effective and real-time qua...
This paper describes in detail how ultrasonic images of the female breast have been processed and ne...
Breast Cancer is one of the most dangerous diseases for women. Mammography is an effective method in...
In this paper, we propose a method for discriminating between malignant and benign breast tumors, by...
This paper presents a simple feed-forward back-propagation Neural Network (NN) model to detect and l...
Microwave breast imaging is being investigated by research groups worldwide for its promising applic...
The combined use of wavelet transform and neural networks to detect and diagnose early breast cancer...
Breast cancer cases are increasing year by year and second leading reasons for the women's death wor...
MammoWave is a microwave imaging device for breast lesion detection, employing two antennas that rot...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
WOS: 000407694500008X-ray mammography is widely used for detection of breast cancer. Besides its pop...
The research looks into the use of an Artificial Neural Network model to detect the presence of lung...
(1) Background: In this paper, an artificial neural network approach for effective and real-time qua...
This paper describes in detail how ultrasonic images of the female breast have been processed and ne...
Breast Cancer is one of the most dangerous diseases for women. Mammography is an effective method in...
In this paper, we propose a method for discriminating between malignant and benign breast tumors, by...
This paper presents a simple feed-forward back-propagation Neural Network (NN) model to detect and l...
Microwave breast imaging is being investigated by research groups worldwide for its promising applic...
The combined use of wavelet transform and neural networks to detect and diagnose early breast cancer...
Breast cancer cases are increasing year by year and second leading reasons for the women's death wor...
MammoWave is a microwave imaging device for breast lesion detection, employing two antennas that rot...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
WOS: 000407694500008X-ray mammography is widely used for detection of breast cancer. Besides its pop...
The research looks into the use of an Artificial Neural Network model to detect the presence of lung...
(1) Background: In this paper, an artificial neural network approach for effective and real-time qua...
This paper describes in detail how ultrasonic images of the female breast have been processed and ne...
Breast Cancer is one of the most dangerous diseases for women. Mammography is an effective method in...