| Tamil Nadu based organizations engaged in guiding, monitoring and supervising engineering and technical students in preparation of their projects such as Mobile Authentication Projects,Microcalcification Clusters, Face Expression Recognition, Moving Objects Monitoring, etc. |
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Micro Calcification Clusters
Wavelet analysis and fuzzy neural techniques are used to perform this task. This work involves collection of medical images, preprocessing the images, extracting the required features from the detected region and then classifying these features. The medical images were collected from MIAS database. Collected images are preprocessed to remove the background information, unwanted parts from the images and enhancing the contrast of suspicious areas in the image. Features are extracted from this enhanced image using wavelet decomposition. Using daubechies wavelet decomposes the enhanced image and then horizontal, energy computation and features reduction a process is performed. Then the reduced features are classified as normal or cancerous using ANFIS (Adaptive Neuro Fuzzy Inference System). During preparation of mammographic microcalcification clusters thesis, our academicians consistently supervise students to enhance their knowledge, which in successful completion of mammographic microcalcification clusters project or thesis.
V.Loganayagi
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