I'm searching for a topic of interest in the domain of machine learning and computer vision. More specifically, researching can computer vision be applied to classify medical image scans and/or predict the future state of a scan. I'm not a health care professional so in order to frame the problem into something that is attainable I'm aiming to research the topic of image scanning some more.
What I would like to know is :
What is the current state of the art of image scanning technology ?
What are it's weaknesses ?
I have many unknown unknowns and I'm unsure where to start to attain a basic knowledge.
Book recommendations are welcome, for example this book seems like a good place to start : For example the book "Medical Imaging for the Health Care Provider: Practical Radiograph Interpretation " : https://www.amazon.com/Medical-Imaging-Health-Care-Provider-ebook/dp/B01HUNOJPG
The dataset I'm intending to use for this research is 'DeepLesion' https://www.nih.gov/news-events/news-releases/nih-clinical-center-releases-dataset-32000-ct-images
Update : this seems like a good place to start : Medical imaging - image quality?
I'm aiming to utilize image and annotated data from DeepLesion to develop an AI to diagnose future and/or present state of a scan. 'future state of a scan' refers to predicting the future state of scan attributes . The attributes are what is contained in the DeepLesion annoted dataset which includes lesion diameter, patient gender and patient age. So I will attempt to predict 1 or a combination of these attributes.
At this stage I'm not aiming for the AI model to perform a diagnosisis or prognosis but provide a prediction of attributes that aids the healthcare practitioner in performing the diagnosis or prognosis. Due to DeepLesion containing CT image scans the healthcare practitioner in this case is a radiographer.
Other type of more high level predictions/classifications I may consider are detecting liver, lung, kidney lesions.
The type of predictions are dependant on the type of data available.
Another research question I have is what type of predictions are of most value to the practitioner. This will help focus my research.