International Journal of Advance Research and Innovation

Neural Network in Healthcare: Neural networks have 
been applied within the medical domain for clinical 
diagnosis, image analysis and interpretation, signal analysis 
and interpretation, and drug development. Papnet is a 
commercial neural network-based computer program for 
assisted screening of Pap (cervical) smears. A Pap smear 
test examines cells taken from the uterine cervix for signs of 
precancerous and cancerous changes. Traditionally, Pap 
smear testing relies on the human eye to look for abnormal 
cells under a microscope. Relying on manual inspection 
alone makes it inevitable that some abnormal Pap smear 
will be missed. Papnet-assisted reviews of [cervical] smears 
result in a more accurate screening process than the current 
practice, leading to an early and more effective detection of 
pre-cancerous and cancerous cells in the cervix. An Entropy 
Maximization Network (EMN) has been applied to the 
prediction of metastases in breast cancer patients. A 
multilayer feed forward network trained with back 
propagation learning algorithm was used for differential 
diagnosis of brain disease (multiple sclerosis and 
cerebrovascular disease). Imaging is an important area for 
the application of ANN pattern recognition techniques. 
Particularly in medicine, pattern recognition is widely used 

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Volume 2, Issue 3 (2014) 676-683 
ISSN 2347 - 3258
International Journal of Advance Research and Innovation 
679 
IJARI 
to identify and extract important features in radiographies, 
ECTs, MRIs, etc. Neural networks are also used for 
segmentation and classification of multi-spectral MRI 
images of normal and pathological human brain. Neural 
network determines the optimal diagnostic strategy for 
colorectal cancer using MRI and tumour markers. It is also 
used to detect four ECG waveforms.