Jiajun Zhao

INTRA-CLASS SUBDIVISION FOR PIXEL CONTRASTIVE LEARNING: APPLICATION TO SEMI-SUPERVISED CARDIAC IMAGE SEGMENTATION

We propose an intra-class subdivision pixel contrastive learning (SPCL) framework for cardiac image segmentation to address representation contamination at boundaries. The novel concept ``Unconcerned sample'' is proposed to distinguish pixel representations at the inner and boundary regions within t…