Our project aims at finding the best solution in order to detect the various forgeries happening in the world of medical science.
Many reports falsely predict that he or she has a certain kind of disease. Thus inorder to detect such forgeries, we have used various methods and algorithms to find the best solution.
Basic Tasks
- Pre-processing ,Feature Extraction
- Model Recording and Training
- Assembly of all models Together
In our project we have used various approaches and models to find the best model for our problem statement.
The models and approaches that we have used are:
- Machine Learning
- Image processing
- Deep Learning
- Probablity Approach
- Statistical Approach
- Linear Extraction