  Brain shift makes the pre-operative MRI navigation highly inaccurate hence
the intraoperative modalities are adopted in surgical theatre. Due to the
excellent economic and portability merits, the Ultrasound imaging is used at
our collaborating hospital, Charing Cross Hospital, Imperial College London,
UK. However, it is found that intraoperative diagnosis on Ultrasound images is
not straightforward and consistent, even for very experienced clinical experts.
Hence, there is a demand to design a Computer-aided-diagnosis system to provide
a robust second opinion to help the surgeons. The proposed CAD system based on
"Mixed-Attention Res-U-net with asymmetric loss function" achieves the
state-of-the-art results comparing to the ground truth by classification at
pixel-level directly, it also outperforms all the current main stream
pixel-level classification methods (e.g. U-net, FCN) in all the evaluation
metrices.
