I would think that 3-dimensional imaging of cells and their components under different influences and chemical agents would yield many breakthroughs because often the form/shape induced in molecules and cells can have significant impacts on the health of individuals.

Hi Sajjad,

I am currently doing my PhD in the field of image processing in medical imaging. Particularly, my research focuses on segmentation methods for organs at risk in radiation treatment planning. Among all the existing methods, I decided to use different techniques of machine learning and deep learning to perform such task.So, they are currently used in medical image processing with a good performance,

Apart of being a successfull approach to optimize the problem of the segmentation of clinicla structures, such as tumors or organs at risk, they have also been applied to tissue classification(CSF, white and grey matter). Also, pattern recognition techniques are currently used to create decision support systems in spectroscopy imaging

Thank you all for your beneficial comments. 

@Jose

I wish the bests for you.

@Sajjad Thank you :)