Efficient Classification of Breast Lesion based on Deep Learning Technique
Journal Title: Bonfring International Journal of Advances in Image Processing - Year 2016, Vol 6, Issue 1
Abstract
In this paper, a new method for Classification of Breast Cancer Images using deep Learning Algorithm are proposed. The Classification Algorithm appears as various features extracted from Healthy Breast images and Unhealthy Breast images. The segmentation algorithm is Deep learning and then Classification Tool is ANN (Artificial Neural Network). Algorithms are performed and different features are extracted. The features are Breast Image Mean, Breast Image Standard Deviation, Breast image Peak Signal to Noise Ratio (PSNR), breast image Contrast to Noise Ratio (CNR). ANN tool showing breast image results.
Authors and Affiliations
Bandita Sen, V. Vedanarayanan
Altered Fingerprint Matching Using Ridge Texture and Frequency in the Unaltered Region
Fingerprint alteration is the process of changing the regularly spaced ridge structure by mechanical or chemical means to hide the identity from Automated Fingerprint Identification System. This paper presents a method f...
Application of Taguchi Method for Optimizing the Parameters of Thermal Properties of Al/SiC-Gr Hybrid Composites
Using the Taguchi method, this study presents a systematic optimization approach for thermal properties of Al/SiC-Gr composites which were synthesized by using metallurgy technique. The thermal conductivity, diffusivity...
Image Fusion Algorithms for Medical Images-A Comparison
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contempor...
De-blurring Cardiac SPECT Images by Maximum Likelihood Approach
This paper presents a blind de-convolution algorithm for enhancing cardiac SPECT images by reducing the blur present in the image. The method is based on maximum likelihood estimate and in particular, the processin...
A Survey of MRI Segmentation Techniques for Brain Tumor Studies
Brain tumor is one of the advancing brain illness among the existing population. The causes of the condition being non-deterministic, it is found that the survival rates of people suffering from brain tumor is very less....