Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration

Understand

Medical image segmentation is one of the fundamental problems for artificial intelligence-based clinical decision systems.

• Current automatic medical image segmentation methods are often failed to meet clinical requirements.
• As such, a series of interactive segmentation algorithms are proposed to utilize expert correction information.
• However, existing methods suffer from some segmentation refining failure problems after long-term interactions and some cost problems from expert annotation, which hinder clinical applications.