New image reconstruction approach now helps contribute to better breast cancer detection by allowing breast cancer imaging to be recovered in real-time.

‘New image reconstruction approach (through a deep learning algorithm known as Z-Net) now helps contribute to better breast cancer detection by allowing breast cancer imaging to be recovered in real-time.’

The study states that the new algorithm can distinguish between malignant and benign tumors using MRI-guided NIRST imaging data from patient breast exams. 




“The Z-Net algorithm reduces the time needed to generate a new image to a few seconds. Moreover, the machine learning network we developed can be trained with data generated by computer simulations rather than needing images from actual patient exams, which take a long time to collect and process into training information,” says Jinchao Feng, the study’s lead author.
The team is now set to adapt the new image reconstruction method to work with 3D data and plan to test it in a larger clinical trial shortly.
Source-Medindia