Wavelet Transform-Based Soft Computational Techniques and Applications in Medical Imaging

2016 ◽  
pp. 339-363
Author(s):  
Shabana Urooj ◽  
Satya P. Singh
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Medical Imaging ◽  
Biomedical Applications ◽  
Imaging Techniques ◽  
Emission Tomography ◽  
Computational Techniques ◽  
Biomedical Image ◽  
Positron Emission ◽  
Neuro Imaging

The aim of this chapter is to highlight the biomedical applications of wavelet transform based soft computational techniques i.e. wavenet and corresponding research efforts in imaging techniques. A brief introduction of wavelet transform, its properties that are vital for biomedical applications touched by various researchers and basics of neural networks has been discussed. The concept of wavelon and wavenet is also discussed in detail. Recent survey of wavelet based neural networks in medical imaging is another facet of this script, which includes biomedical image denoising, image enhancement and functional neuro-imaging, including positron emission tomography and functional MRI.

Contribution of Neural Networks in Different Applications

2020 ◽  
pp. 305-316 ◽  
Author(s):  
Bhushan Patil ◽  
Manisha Vohra
Keyword(s):  
Breast Cancer ◽  
Neural Networks ◽  
Image Classification ◽  
Biomedical Applications ◽  
Human Life ◽  
Its Analysis

Neural networks are very useful and are proving to be very beneficial in various fields. Biomedical applications such as breast cancer image classification, differentiating between the malignant and benign type of breast cancer, etc. are now seen to be making use of neural networks rapidly. Neural networks are showing remarkable results of their effectiveness in these biomedical applications and are proving to be immensely profitable. Another field such as agriculture, which is a very crucial field for survival of human life, can be benefitted from neural networks. Likewise, various fields can gain enormous benefits from the usage of neural networks. This chapter shall explain neural networks in detail. Also, the authors shall provide a brief and detailed insight of the contribution of neural networks in different applications, along with its analysis.

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