I've recently started pursuing PhD in Medical Image Processing. I am struggling to find a suitable problem to carry out research.
I was initially interested in working on brain images but after doing studies and according to peers' advices lots of works have already done with brain, but still work can be done on:
1. Retinal images
2. Chest radiography
3. Estimating probability of lung cancer etc.
I would be obliged if somebody suggests me some relevant topics(related to brain or other organs) where still there are lots of scopes to work on.
Well, there are are thousands of interesting topics for many imaging modalities. It might be better to decide what you want to do first, so that you will be able to limit your search.
Do you want to work on image reconstruction, segmentation, analyses or registration? Which imaging modality you want to work with (CT, MRI, ultrasound, mammography, X-rays, SPECT-CT, PET-CT, DEXA, interventional imaging, multimodal, etc)? Are you interested in 2D or 3D imaging, clinical or pre-clinical? Do you want to work with deep learning or no?
After answering some of these questions, look for research groups that are working in a related discipline and their current projects, or recent publications for an inspiration. Also check proceedings of major image processing conferences (e.g., MICCAI, NeurIPS, SPIE Medical Imaging, Fully3D, IEEE MIC)
Good luck!
It would be interesting to see more advanced brain imaging of the brain stem and spinal cord.
https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection
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