Deep Learning for Medical Images: spotting hidden brain issues
Deep learning is being used to read medical pictures, and it can spot odd things in scans that people sometimes miss.
I worked on ways that let a computer learn from many examples so it can find, name and cut out problems in the image fast.
These approaches tries to be end-to-end, meaning the system learn from raw data to final answer, and that helps to speed things up for busy clinics.
In tests the tools show promise to help doctors see trouble sooner and make better choices during care.
By focusing on brain we explores how machines learn to do detection and segmentation with less human tuning, it could save time.
The idea is simple, teach a model with many pictures until it generalize, then use it in hospitals where quick answers are needed.
This work is early but exciting, and more studies will come cause the field moves fast and small steps matter.
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Deep Learning for Medical Image Analysis
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